JP2005348926A - Information processor, information processing method and information processing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information processor, an information processing method and an information processing system capable of measuring effects of business management measures held in a game parlor for every business management measure and digitizing the results. <P>SOLUTION: An administration device 13 is connected to devices such as inter-stand machines 3, 4 and 6, a counting machine 9, a clearing settlement machine 10, a prize management machine (POS) 11, a replay receiving machine 12, an issuing machine 20, a data display machine 21 and a data release machine 22 via a network 8, measures the effects of the respective business management measures based on information from respective devices, and digitizes the effects of the respective business management measures, for example, capable of digitizing and outputting a differences in sales, income and expenses and the like between when performing the business management measures and when non-performing them. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing system for measuring the effect of a business measure such as an event held in a game hall.

Conventionally, in game halls, for example, in a pachinko machine, out (launching balls), safe (supply balls to the gaming machine, that is, supply balls to the game upper plate: player's acquisition balls), win / loss (out from the safe) Information such as the number of balls that have been reduced), the number of rented balls, and payments are managed and tabulated by the management device, and based on the tabulated data, the balance of the game hall is grasped. The total data can also be totaled as game data for each gaming machine such as a pachinko machine or a slot machine. For example, when a nail adjustment is performed in a pachinko machine, a management device is disclosed that can output the average data of each item of game data for a predetermined period and determine the effect of the nail adjustment (for example, Patent Documents) 1).
Japanese Patent No. 2794638

  In the conventional management device described above, the effect on the nail adjustment can be confirmed as game data, but as an effect based on the nail adjustment, for example, how much profit change has occurred, it is necessary to manually add up the results. there were.

  In addition, in the conventional management device, for example, the introduction of a new card system to be held in the game hall, the change from the lucky number system to the unlimited system, the change of the purchase price of the ball, the newspaper insert advertisement, the new stand replacement, the specific stand It was not possible to measure the effects of business measures such as events such as large opening (nail width UP and slot setting UP), Ladies Day setting, and point prize renewal. In addition, for example, it was not possible to measure effects such as customer entertainment for store clerk and the impact of opening a new store at another store. In addition, when a plurality of events are held simultaneously, the effect of each event cannot be determined.

  Therefore, in the present invention, an information processing apparatus that has been made to solve the above-described problem and can measure the effect of a sales measure held in a game hall for each sales measure and digitize the result. An object is to provide an information processing method and an information processing system.

  In order to achieve the above object, an information processing apparatus according to the present invention is an information processing apparatus for measuring the effect of a sales measure applied in a game hall, and is a sales measure input means for inputting one or a plurality of sales measures. A game information management means for inputting and storing game information related to various devices installed in the game hall, an effect calculation means for calculating an effect in the business measure based on the game information, and the effect calculation And a calculation result output means for outputting the effect calculated by the means.

  According to this information processing apparatus, the effect calculation means can calculate the effect of the sales measure by calculating the effect of the sales measure based on the game information. Thereby, based on the quantified effect information, it is possible to examine an optimal sales measure and an optimal setting condition in the sales measure.

  The information processing apparatus functions as, for example, a management device installed in a game hall or a part of the configuration of the management device.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, and a machine between the machines installed between the machines and directing the game media or instructing the game machine to lend , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and any information related to various devices installed in the game hall is included in this.

  Here, when setting the implementation of a predetermined sales measure preset in the information processing device, the sales measure is selected from one or a plurality of sales measures preset in the information processing device. In the case of setting the implementation of the sales measure, there is a case where the implementation of the sales measure is set by inputting the name of the sales measure with a keyboard or the like via a terminal device such as a personal computer connected to the information processing apparatus.

  Examples of the effect in the effect calculating means include, but are not limited to, the number of store visits before and after the input in the sales measure input means, the difference or ratio of sales, profit / loss, etc., or the fluctuation component of those indexed. Furthermore, the effect calculated by the effect calculation means may be stored in the calculation result storage means or the like in correspondence with the sales measure, and may be read out from the calculation result storage means or the like as necessary. The calculation result output means outputs information to another display device, but is not limited to this, and the information may be displayed on a display device connected to the information processing device.

  The information processing apparatus of the present invention is an information processing apparatus for measuring the effect of a sales measure applied in a game hall, and is installed in a game hall with a sales measure input means for inputting one or a plurality of sales measures. Based on the game information, game information management means for inputting and storing game information related to various devices, area specifying means for specifying a residence area of a player who plays using the various devices, and the game information, For each area specified by the area specifying means, an effect calculating means for calculating the effect in the sales measure, and a calculation result output means for outputting the effect for each area calculated by the effect calculating means for each area. It is characterized by comprising.

  According to this information processing apparatus, the effect calculation means can calculate the effect of the sales policy for each region based on the game information, and can quantify the effect of the sales policy. Thereby, based on the quantified effect information, it is possible to examine an optimal sales measure and an optimal setting condition in the sales measure. This information processing device functions as, for example, a management device installed in a game hall or a part of the configuration of the management device.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, and a machine between the machines installed between the machines and directing the game media or instructing the game machine to lend , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and information related to various devices installed in the game hall is included in this information .

  Here, when setting the implementation of a predetermined sales measure preset in the information processing device, the sales measure is selected from one or a plurality of sales measures preset in the information processing device. In the case of setting the implementation of the sales measure, there is a case where the implementation of the sales measure is set by inputting the name of the sales measure with a keyboard or the like via a terminal device such as a personal computer connected to the information processing apparatus.

  Further, the effect calculated by the effect calculation means may be stored in the calculation result storage means or the like in correspondence with the sales measure, and may be read out from the calculation result storage means or the like as necessary. Further, the calculation result output means outputs information to other display devices, but the present invention is not limited to this, and information may be displayed on a display device connected to the information processing device.

  Further, the area specifying means for specifying the player's residence area specifies the residence area from the address of the member player managed based on the ID of the member card, for example. In the case of a non-member player, for example, the residence area may be specified based on the area number input by the player from a numeric keypad such as a pedestrian machine.

  In the effect calculation means, in addition to the method of calculating the effect in the sales measure for each area specified by the area specifying means, for example, a method of calculating the effect for each player and totaling it for each area is adopted. You can also. In addition, calculation factors for calculating the effect on the sales policy for each region may be totaled and stored, and the effect for each region may be calculated from the calculation factor stored by totalization. Examples of effects in the effect calculation means include, but are not limited to, the number of store visits before and after the input in the sales measure input means, the difference or ratio of sales, profit / loss, etc., or the fluctuation component of those indexed. .

  Moreover, the calculation result output means can display the effect for each area calculated by the effect calculation means for example on a list or on a map for each area. The calculation result output means can also output to other display devices.

  Further, the information processing apparatus of the present invention is characterized in that the effect calculating means includes one or a plurality of time factors in the calculation factor when calculating the effect in the business measure.

  According to this information processing apparatus, since the time factor is included in the calculation factor and the effect on the sales policy is calculated, for example, the effect of the day of the week different from the sales policy, the bonus time, the time of the Bon Festival, the night, the weather, etc. It is possible to measure the pure effect on sales measures by removing the influence on the effect such as factors.

  For example, if the calculation factor is an increase in sales, the number of players who visit the game hall from the morning will increase by 80% compared to the normal rate. Then, the present invention includes correcting the sales by multiplying by 100/180 or correcting the sales by reducing the sales increase corresponding to 80% of the sales. The sales may be multiplied by 100/180 and corrected to the normal time, and the difference between the sales corrected to the normal time and the sales at the normal time may be calculated as an effect.

  Furthermore, the information processing apparatus according to the present invention performs an averaging operation so that the timing factor newly decelerates the influence on the previously calculated timing factor as the elapsed period increases. Features.

  According to this information processing apparatus, since the newly calculated timing factor is averaged so as to slow down the influence on the previously calculated timing factor, for example, it is accurate without being influenced by sudden changes. Can be performed.

  Normally, the average value is calculated as the number of data in the corresponding period increases or the elapsed period increases, and the newly calculated timing factor is calculated by slowing the effect on the previously calculated timing factor. Therefore, a normal average value calculation is also included in the present invention.

  In the averaging calculation in the present invention, for example, “current moving average value” = P × “previous moving average value” + (1−P) × “ This value ", however, P <1, and as the number of elapsed engines increases, P may be increased to approximate normal average value calculation. Furthermore, in order to carry out with high accuracy and without increasing the memory procedure, “current moving average value” = {(number of days—one day) × “previous moving average value” + (1 day) × “current value” } / The number of days.

  Also, for example, if the effect of the calculation is an increase in sales, if the number of players visiting the game hall from the morning increases by 80% from the usual because work is absent in the evening, the sales are multiplied by 100/180. Thus, an averaging operation may be performed so as to slow down the influence on the previously calculated time factor.

  In the information processing apparatus of the present invention, the effect calculation means calculates an average value of the game information or the internal data calculated by the game information, and applies the sales measure based on the average value. The effect is calculated.

  According to this information processing apparatus, the average value of the game information or the value of the internal data calculated by this game information is calculated, and the effect when the business measure is applied based on the average value as the normal data Is calculated. As a result, the average value slows down with respect to fluctuations such as instantaneous values, and this slowed average value is taken as the value when business measures are not taken, and the fluctuation component is calculated as the effect when sales measures are taken. Can do.

  In this calculation, calculations using various calculation formulas can be adopted and cannot be limited. However, as the calculation, the difference between the average value and the instantaneous value, the ratio, the integration of the difference, etc. ”= P ד previous moving average value ”+ (1−P) ד current value ”, difference, ratio, difference in two kinds of“ current moving average values ”calculated when different P are set And integration of ratios. Furthermore, calculations such as a difference, a ratio, an integration of a difference, an integration of a ratio, etc. in every two types of “current moving average values” calculated when three or more different Ps are set can be exemplified.

  That is, for example, by comparing the instantaneous value of the game information with the average value of the game information, it is possible to capture the effect of applying the sales measure, and furthermore, the difference can be quantified and calculated. .

  In addition, the average value may be the average value until just before the sales measure is input by the sales measure input means, or it is calculated by the game information or the game information after the sales measure is input. An average value of internal data may be used.

  Further, in the information processing apparatus of the present invention, the effect calculation means calculates an average value of predetermined game information or internal data calculated by the game information for a predetermined period during which no business measure is applied, and based on the average value Thus, the effect when the sales measure is taken may be calculated. In this way, the result of the business measure is not included in the average value calculation, so that the effect measurement calculation can be performed with high accuracy.

  Further, in the information processing apparatus of the present invention, when the effect calculation means calculates the effect in the sales measure, the following equations (1) and (2): (1) Sales (A) = Sales measure investment cost (X) × Sales policy investment efficiency (W), (2) Profit / loss (B) = Sales policy investment cost (X) × Sales policy profit efficiency (W) −Sales policy investment cost (X) It is characterized in that the investment cost (X) for sales measures and the profit efficiency (W) for sales measures are calculated.

  According to this information processing apparatus, since sales (A) and profit / loss (B) are already known from the game information management means for inputting and storing game information, sales policy investment expenses (X) and sales policy profit efficiency ( W) can be calculated. The meanings of the expressions (1) and (2) are, for example, that the number of players increases because the number of players is increased. This is expressed by a decrease in the investment efficiency (W) of the sales measure. In addition, when advertising expenses are increased or the building of the game hall is renewed, the number of players increases and the profit (B) decreases instead of the increase in sales (A). In these cases, it is possible to grasp the business measure investment efficiency (W) as an effect. Here, if the sales measure profit efficiency (W) is greater than 1, it indicates that the sales measure is beneficial, and if it is less than 1, it indicates that the sales measure is useless (loss). When the business measure profit efficiency (W) is 1, the break-even point is set.

  In addition, since it is possible to obtain information on investment expenses (X) and sales profit margins (W) for multiple sales measures on multiple occasions in one type of sales policy, consider the optimal conditions for implementing sales measures. be able to. In addition, even when multiple sales measures are performed at the same time, when the end of a sales measure is misaligned, when the same sales measure is performed on multiple occasions, or when the investment cost (X) of a sales measure is entered, etc. (1) By solving the equation and the simultaneous polynomial of equation (2), each sales measure has multiple sales measure investment cost (X) and sales measure profit efficiency (W) information. ), Sales measure profit efficiency (W) value can be obtained respectively.

  Further, for each of the formulas (1) and (2), the sales (A) and the profit / loss (B) are known from the game information management means for inputting and storing the game information, and the investment cost (X2) However, if it is possible to input the actual investment amount, it is possible to separately obtain the sales measure profit efficiency for sales (W21) and the profit measure for profit and loss (W22). That is, X and W calculated by solving the simultaneous equations of Equations (1) and (2), actual operating policy investment expenses (X2), operating policy profit efficiency for sales (W21), and profit and loss It becomes possible to compare the profitability (W22) of sales measures. Based on this comparison, for example, the difference in the sales strategy investment cost (X) obtained by solving the equation for the actual sales strategy investment cost (X2) is that this event was held at the same time as the new store opening event of another store. It may be interpreted as a reduction in the amount of investment that occurs occasionally. Entering the known sales (A) and profit / loss (B) and the actual operating policy investment expenses (X2), the sales policy profit efficiency W21 for sales is different from the profit / loss sales policy profit efficiency W22. For example, the case where the gaming machine shows an abnormal jackpot rate due to fraud can be exemplified.

  In addition, as a method of solving the simultaneous polynomials of the formulas (1) and (2), the formula (1) or the formula (2), a program obtained by programming a general mathematical technique can be used. For example, a neural network or the like can be used.

  Sales in Pachinko Hall are, for example, the amount of money received for renting game media, which is calculated as “(total amount of money received) − (settled amount of remaining frequency by the settlement machine)”. As an example, various methods for calculating sales close to this have been proposed and cannot be limited. For example, “the number of balls rented × 4 yen” may be used. Similarly, profit and loss can be calculated using “(sales)-(cost of premium)-(each expense)”, but various methods for calculating profits and losses that are close to this have been proposed. Can not.

  Further, the information processing apparatus of the present invention is characterized in that the calculation period can be arbitrarily set when the effect calculation means calculates the effect in the business measure.

  According to this information processing apparatus, when calculating the effect on the sales measure, it is possible to arbitrarily set the calculation period, so it is possible to obtain information only for the necessary period, which is useful when considering the sales measure. Information can be obtained. For example, in the case where a predetermined employee education is conducted from four months ago, when the effect is compared between the four months before and after the predetermined period, the calculation period is arbitrarily set, and the calculation result during that period is set. Can be obtained.

  The information processing apparatus according to the present invention is characterized in that the effect calculating means can calculate an effect for each of the sales measures.

  According to this information processing apparatus, since the effect can be calculated for each sales measure, it is possible to obtain information on only the necessary sales measure, and it is possible to obtain useful information when considering the sales measure.

  Furthermore, the information processing apparatus according to the present invention includes a change detection unit that detects a change in the game information or internal data calculated by the game information when a sales measure is not input to the sales measure input unit. An unknown sales measure effect calculating means for calculating an effect as an unknown sales measure when a change is detected by the change detecting means; an unknown sales measure effect output means for outputting the effect calculated by the unknown sales measure effect calculating means; It is characterized by comprising.

  According to this information processing apparatus, the fluctuation detecting means detects game information or fluctuations in internal data calculated by the game information, and the detected information is calculated as an unknown sales action effect by the unknown sales action effect calculating means. Therefore, it is possible to grasp the effects of unknown factors such as when sales policies are not set. In addition, the fluctuation detection unit and the unknown business measure effect calculation unit may be configured as a part of the effect calculation unit, for example.

  Also, as internal data, for example, the base data of how many players to return to 100 shots that are the number of shots per minute of a pachinko game machine, the average of slot setting, the result of the survey by the store clerk entered The operational data, the corresponding number of people for each member category, etc. can be exemplified, and arbitrary data that is not set in advance may be used. Arbitrary data that is not set in advance may be divided into a plurality of equal parts in, for example, about five stages, an average value for each of the predetermined periods may be obtained, and this average value may be used as internal data. Since these internal data fluctuations can be detected and the effects caused by the fluctuations can be calculated, the effects caused by the unexpected fluctuations can be calculated.

  In the information processing apparatus of the present invention, the effect calculated by the effect calculating means or the unknown sales measure effect calculating means is at least one of sales fluctuation, profit and loss fluctuation, profit efficiency in the sales measure. It is characterized by being.

  According to this information processing apparatus, since at least one of sales fluctuation, profit and loss fluctuation, and profit efficiency is effective, it is possible to measure the effect when a sales measure is applied.

  The information processing apparatus according to the present invention further includes genre registration means for the information processing apparatus to register and specify the genre set in advance by dividing the sales measure, and the calculation result output means is configured to output an output request. On the basis of the above, the effects calculated by the effect calculating means can be output for each genre registered by the genre registration means for each sales measure belonging to the genre.

  According to this information processing apparatus, the effects calculated by the effect calculating means can be output side by side for each genre registered by the genre registration means for each sales measure belonging to the genre. Can be searched. In addition, the genre registration unit may be configured as a part of the effect calculation unit, for example.

  In addition, if the genre is set as the same sales measure, the average value of the effect of the same sales measure is obtained, and when multiple sales measures are performed at the same time, such as an event such as a new store opening, The effect obtained by subtracting the average value of the effect for the same sales measure may be calculated as the effect of the sales measure different from the same sales measure. In this way, it is possible to calculate the effect by separating each of them based on the same business policy in the past even in the case of simultaneous start and end of multiple business measures.

  Further, the information processing apparatus of the present invention comprises a person-in-charge registration means for registering information based on a person in charge of the sales measure, and the calculation result output means is based on the output request. The effect calculated for each person in charge registered by the person-in-charge registration means can be output.

  According to this information processing apparatus, the calculation result output means can output the effect calculated for each person in charge registered by the person in charge registration means based on the output request. You can get information such as sales and profit / loss of sales policy. This makes it possible to evaluate the performance of each person in charge. The person-in-charge registration unit may be configured as a part of the effect calculation unit, for example.

  In addition, the person-in-charge registration means can register a plurality of persons in charge for each sales measure, and in this case, a contribution rate that contributes to the sales measures of the plurality of registered persons in charge is provided, It is also possible to be able to output the effect calculated in In this way, the performance of each person in charge can be more accurately evaluated.

  Furthermore, in the information processing apparatus of the present invention, the calculation result output unit is configured to obtain the effect calculated by the effect calculation unit using the game information or internal data calculated by the game information as a calculation factor based on the output request. It is possible to display a graph by approximating a quadratic equation.

  According to this information processing apparatus, the game information or the internal data calculated by the game information can be displayed in a graph by approximating it to a quadratic expression, so that the maximum value or the minimum value can be obtained, and the optimal sales policy The setting conditions can be grasped.

  The information processing apparatus according to the present invention includes a map display unit that displays the effect of each region output from the calculation result output unit on the map of each region, and the map display unit. It is characterized by comprising contour line display means for showing the equivalent area of the displayed effect with contour lines.

  According to this information processing apparatus, the map display means can display the effect for each area output from the calculation result output means on the map for each area. It is possible to grasp the effects of advertising in each region. Furthermore, since information such as sales, profit / loss, and number of members can be obtained for each region, it is important information when considering sales policies.

  Furthermore, since the contour display means can show the equivalent area of the effect displayed by the map display means by contour lines, it is important to consider important information for determining the distribution area of advertisements when considering sales measures, for example. Become. In addition to dividing the equivalent area of the effect by the contour line, the area may be divided by, for example, color coding. Further, the map display means and the contour line display means may be configured as a part of the effect calculation means, for example.

  The information processing apparatus according to the present invention further includes related information display means for displaying at least a part of information stored in the game information management means in relation to the business measure.

  According to this information processing apparatus, at least a part of the information stored in the game information management means can be displayed by the related information display means. For example, along with the display of the calculation result of the effect measurement of the business measure, The setting conditions of the sales measure can be displayed. In addition to displaying the results of calculation of the effect measures of sales measures shown by the map display means, it is possible to display the setting conditions of the sales measures, etc., and study the sales measures while grasping the setting conditions of the sales measures Is beneficial because it can be done.

  The information processing apparatus according to the present invention is an information processing apparatus provided in a game hall, wherein game information management means for inputting and storing game information related to various devices installed in the game hall, and the game A fluctuation detecting means for detecting fluctuations in internal data calculated by information or the game information; an effect calculating means for calculating an effect on the fluctuations when the fluctuation is detected by the fluctuation detecting means; and the effect calculating means. Computation result output means for outputting the computed effect is provided.

  According to this information processing apparatus, the fluctuation detecting means detects game information or a change in internal data calculated by the game information, and the detected information can be used to calculate the effect on the fluctuation in internal data by the effect calculating means. Therefore, even when no sales measure is set, the effect of the effect can be grasped based on fluctuations in internal data. It is also possible to examine the factors of fluctuation from the items of the fluctuating internal data.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, and a machine between the machines installed between the machines and directing the game media or instructing the game machine to lend , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and any information related to various devices installed in the game hall is included in this.

  Examples of the effect in the effect calculating means include, but are not limited to, the number of store visits before and after the input in the sales measure input means, the difference or ratio of sales, profit / loss, etc., or the fluctuation component of those indexed. Furthermore, the effect calculated by the effect calculation means may be stored in the calculation result storage means or the like in association with the fluctuating internal data item, and may be read from the calculation result storage means or the like as necessary. In addition, the fluctuation detection unit may be configured as a part of the effect calculation unit, for example.

  The calculation result output means outputs information to another display device, but is not limited to this, and the information may be displayed on a display device connected to the information processing device.

  Also, as internal data, for example, the base data of how many players to return to 100 shots that are the number of shots per minute of a pachinko game machine, the average of slot setting, the result of the survey by the store clerk entered The operational data, the corresponding number of people for each member category, etc. can be exemplified, and arbitrary data that is not set in advance may be used. Arbitrary data that is not set in advance may be divided into a plurality of levels in about five stages for the time being, an average value for each division may be obtained for each predetermined period, and this average value may be used as internal data. Since these internal data fluctuations can be detected and the effects caused by the fluctuations can be calculated, the effects caused by the unexpected fluctuations can be calculated.

  Furthermore, in the information processing apparatus according to the present invention, the effect calculation means calculates an average value of the game information or internal data calculated based on the game information, and calculates an effect on the variation based on the average value. It is characterized by that.

  According to this information processing apparatus, when the average value of the game information or the value of the internal data calculated by the game information is calculated, and the fluctuation of the internal data is detected based on the average value as the normal data The effect is calculated. As a result, the average value becomes dull with respect to fluctuations such as instantaneous values, and this dull average value is used as a value when no fluctuation of internal data is detected, and the fluctuation component is calculated as an effect when business measures are taken. be able to.

  In this calculation, calculations using various calculation formulas can be adopted and cannot be limited. However, as the calculation, the difference between the average value and the instantaneous value, the ratio, the integration of the difference, etc. ”= P ד previous moving average value ”+ (1−P) ד current value ”, difference, ratio, difference in two kinds of“ current moving average values ”calculated when different P are set And integration of ratios. Furthermore, calculations such as a difference, a ratio, an integration of a difference, an integration of a ratio, etc. in every two types of “current moving average values” calculated when three or more different Ps are set can be exemplified.

  That is, for example, by comparing the instantaneous value of the game information with the average value of the game information when no change in internal data is detected, it is possible to capture the effect equivalent to applying some sales measure, The difference can be calculated numerically.

  Furthermore, in the information processing apparatus of the present invention, the effect calculation means calculates a predetermined game information of a predetermined period in a predetermined period in which no fluctuation is detected or an average value of values of internal data calculated by the game information, You may make it calculate the effect in a fluctuation | variation based on the value of the predetermined predetermined game information. In this way, since the fluctuation result is not included in the average value calculation, the effect measurement calculation can be performed with high accuracy.

  Furthermore, the information processing apparatus according to the present invention is characterized in that the effect calculated by the effect calculating means is at least one of sales fluctuation, profit and loss fluctuation, and profit efficiency due to fluctuations in the internal data. .

  According to this information processing apparatus, since at least one of sales fluctuation, profit and loss fluctuation, and profit efficiency is effective, it is possible to measure the effect due to fluctuations in internal data.

  The information processing method of the present invention includes a sales measure input means for inputting information based on one or a plurality of sales measures, and a game information management means for inputting and storing game information related to various devices installed in the game hall. And, based on the game information, effect calculation means for calculating the effect in the sales measure, calculation result output means for outputting the effect calculated by the effect calculation means, the sales measure input means, and the game information management An information processing method comprising: a control means for controlling the effect calculation means and the calculation result output means, wherein the sales measure input means outputs information based on one or more sales measures. The business measure input step of inputting and outputting to the control means, and the game information management means stores game information related to various devices installed in the game hall. A game information management step that stores the information by force, an information output step in which the control means outputs information based on business measures and game information obtained from the game information management means to the effect calculation means, and the effect calculation means comprises: An effect calculation step of calculating an effect in the sales measure based on the game information and outputting the result to the calculation result output means via the control means, and the calculation result output means are calculated in the effect calculation step. And an operation result output step for outputting the effect.

  According to this information processing method, the effect of the sales measure can be quantified by calculating the effect of the sales measure based on the game information in the effect calculation step. Thereby, based on the quantified effect information, it is possible to examine an optimal sales measure and an optimal setting condition in the sales measure.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, a machine between the machines installed between the game machines and directly renting game media or instructing the game machine to rent , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and information related to various devices installed in the game hall is included in this information .

  Here, when setting the implementation of a predetermined sales measure preset in the information processing method, the sales measure is selected from one or a plurality of sales measures preset in the information processing method. In the case of setting the implementation of the sales measure, there is a case where the implementation of the sales measure is set by inputting the name of the sales measure with a keyboard or the like via a terminal device such as a personal computer that can communicate by the information processing method.

  Examples of the effect in the effect calculation step include, but are not limited to, the number of store visits before and after the input setting in the sales measure input means, the difference or ratio of sales, profit / loss, etc., or the fluctuation component of those indexed. Furthermore, the effect calculated in the effect calculation step may be stored in the calculation result storage step or the like in correspondence with the sales measure, and may be read out in the calculation result storage step or the like as necessary. The calculation result output means outputs information to other display devices, but is not limited to this, and the information may be displayed on a connected display device.

  The information processing method of the present invention includes a sales measure input means for inputting one or a plurality of sales measures, and a game information management means for inputting and storing game information related to various devices installed in the game hall. , Calculating the effect of the business measure for each area specified by the area specifying means based on the game information based on the game information and the area specifying means for specifying the residence area of the player who plays using the various devices Effect calculation means, calculation result output means for outputting the effect of each area calculated by the effect calculation means for each area, the business measure input means, the game information management means, the area specifying means, the effect calculation And a control means for controlling the calculation result output means, wherein the sales measure input means includes one or more operating measures. A business measure input step for inputting information based on the measure and outputting it to the control means, and a game information management step for the game information management means to input and store game information related to various devices installed in the game hall And an area specifying step in which the area specifying means outputs information on a living area of a player who plays a game input from any of the various devices to the control means, and the control means is information based on a business measure. An information output step of outputting game information obtained from the game information management means and information specifying the player's residence area to the effect calculation means; and the effect calculation means, based on the game information, An effect calculation step of calculating an effect of the measure for each of the specified regions and outputting the calculation result output means to the calculation result output means via the control means; Output means, characterized by comprising an operation result output step of outputting an effect that has been calculated in the effective operation step for each area is the specific.

  According to this information processing method, in the effect calculation step, the effect of the sales policy can be calculated for each region based on the game information, and the effect of the sales policy can be quantified. Thereby, based on the quantified effect information, it is possible to examine an optimal sales measure and an optimal setting condition in the sales measure.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, and a machine between the machines installed between the machines and directing the game media or instructing the game machine to lend , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and information related to various devices installed in the game hall is included in this information .

  Here, when setting the implementation of a predetermined sales measure preset in the information processing method, the sales measure is selected from one or a plurality of sales measures preset in the information processing method. In the case of setting the implementation of the sales measure, there is a case where the implementation of the sales measure is set by inputting the name of the sales measure with a keyboard or the like via a terminal device such as a personal computer connected to the information processing device by the information processing method.

  Further, the effect calculated in the effect calculation step may be stored in the calculation result storage step or the like in correspondence with the sales measure, and may be read out in the calculation result storage step or the like as necessary. Furthermore, in the calculation result output step, information is output to another display device, but the present invention is not limited to this, and information may be displayed on a connected display device.

  Further, in the region specifying step for specifying the player's residence area, for example, the residence area is specified from the address of the member player managed based on the ID of the member card. In the case of a non-member player, for example, the residence area may be specified based on the area number input by the player from a numeric keypad such as a pedestrian machine.

  In the effect calculation step, in addition to the method of calculating the effect of the sales measure for each region specified in the region specifying step, for example, a method of calculating the effect for each player and totaling it for each region is adopted. You can also. In addition, calculation factors for calculating the effect on the sales policy for each region may be totaled and stored, and the effect for each region may be calculated from the calculation factor stored by totalization. Examples of effects in the effect calculation step include, but are not limited to, the number of store visits before and after the setting of the sales measure input step, the difference or ratio of sales, profit / loss, etc., or the fluctuation component of those indexed. .

  Further, in the calculation result output step, the effect for each region calculated in the effect calculation step can be displayed in a list or on a map for each region, for example. In the calculation result output step, output to another display device can also be performed.

  The information processing method of the present invention is characterized in that, in the effect calculation step, when calculating the effect in the sales measure, one or more time factors are included in the calculation factor.

  According to this information processing method, the timing factor is included in the calculation factor, and the effect on the sales policy is calculated. For example, the effect of the day of the week different from the sales policy, the bonus time, the Bon Festival, the living, the weather, etc. It is possible to measure the pure effect on sales measures by removing the influence on the effect such as factors.

  For example, if the calculation factor is an increase in sales, the number of players who visit the game hall from the morning will increase by 80% compared to the normal rate. Then, the present invention includes correcting the sales by multiplying by 100/180 or correcting the sales by reducing the sales increase corresponding to 80% of the sales. The sales may be multiplied by 100/180 and corrected to the normal time, and the difference between the sales corrected to the normal time and the sales at the normal time may be calculated as an effect.

In the information processing method of the present invention, the time factor may be averaged so that the newly calculated time factor slows down the influence on the previously calculated time factor as the elapsed period increases. Features.
According to this information processing method, since the averaging calculation is performed so that the newly calculated timing factor slows down the influence on the previously calculated timing factor, for example, the calculation is appropriately performed without being influenced by sudden changes. Can be performed.

  Normally, the average value is calculated as the number of data in the corresponding period increases or the elapsed period increases, and the newly calculated timing factor is calculated by slowing the effect on the previously calculated timing factor. Therefore, a normal average value calculation is also included in the present invention.

  In the averaging calculation in the present invention, for example, “current moving average value” = P × “previous moving average value” + (1−P) × “ This value ", however, P <1, and as the number of elapsed engines increases, P may be increased to approximate normal average value calculation. Furthermore, in order to carry out with high accuracy and without increasing the memory procedure, “current moving average value” = {(number of days—one day) × “previous moving average value” + (1 day) × “current value” } / The number of days.

  Also, for example, if the effect of the calculation is an increase in sales, if the number of players visiting the game hall from the morning increases by 80% from the usual because work is absent in the evening, the sales are multiplied by 100/180. Thus, an averaging operation may be performed so as to slow down the influence on the previously calculated time factor.

  Furthermore, in the information processing method of the present invention, in the effect calculation step, an average value of the game information or internal data calculated by the game information is calculated, and the sales measure is applied based on the average value. The effect is calculated.

  According to this information processing method, the average value of the game information or the value of the internal data calculated by this game information is calculated, and the effect when the sales measure is applied based on the average value as the normal data Is calculated. As a result, the average value slows down with respect to fluctuations such as instantaneous values, and this slowed average value is taken as the value when business measures are not taken, and the fluctuation component is calculated as the effect when sales measures are taken. Can do.

  In this calculation, calculations using various calculation formulas can be adopted and cannot be limited. However, as the calculation, the difference between the average value and the instantaneous value, the ratio, the integration of the difference, etc. ”= P ד previous moving average value ”+ (1−P) ד current value ”, difference, ratio, difference in two kinds of“ current moving average values ”calculated when different P are set And integration of ratios. Furthermore, calculations such as a difference, a ratio, an integration of a difference, an integration of a ratio, etc. in every two types of “current moving average values” calculated when three or more different Ps are set can be exemplified.

  That is, for example, by comparing the instantaneous value of the game information with the average value of the game information, it is possible to capture the effect of applying the sales measure, and furthermore, the difference can be quantified and calculated. .

  In addition, the average value may be an average value until just before the sales measure is input in the sales measure input step, or is calculated by the game information or the game information after the sales measure is input. An average value of internal data may be used.

  Furthermore, the information processing method according to the present invention calculates an average value of predetermined game information or internal data calculated by game information in a predetermined period during which the business measure is not applied in the effect calculation step, and based on the average value Thus, the effect when the sales measure is taken may be calculated. In this way, the result of the business measure is not included in the average value calculation, so that the effect measurement calculation can be performed with high accuracy.

  In the information processing method of the present invention, when calculating the effect in the sales measure in the effect calculating step, the following equations (1) and (2) are used: (1) Sales (A) = Sales measure investment cost ( X) x Sales measures profit efficiency (W), (2) Profit / loss (B) = Sales measures investment expenses (X) x Sales measures profit efficiency (W)-Sales measures Investment expenses (X) It is characterized by calculating the investment cost (X) of the sales policy and the profit efficiency (W) of the sales policy.

  According to this information processing method, since sales (A) and profit / loss (B) are already known in the game information management step for inputting and storing game information, sales policy investment expenses (X) and sales policy profit efficiency ( W) can be calculated. The meanings of the expressions (1) and (2) are, for example, that the number of players increases because the number of players is increased, but the number of players increases, but the investment cost (X) for business measures increases, and the profit and loss decreases. This is expressed by a decrease in the investment efficiency (W) of the sales measure. In addition, when advertising expenses are increased or the building of the game hall is renewed, the number of players increases and the profit (B) decreases instead of the increase in sales (A). In these cases, it is possible to grasp the business measure investment efficiency (W) as an effect. Here, if the sales measure profit efficiency (W) is greater than 1, it indicates that the sales measure is beneficial, and if it is less than 1, it indicates that the sales measure is useless (loss). When the business measure profit efficiency (W) is 1, the break-even point is set.

  In addition, since it is possible to obtain information on investment expenses (X) and sales profit margins (W) for multiple sales measures on multiple occasions in one type of sales policy, consider the optimal conditions for implementing sales measures. be able to. In addition, even when multiple sales measures are performed at the same time, when the end of a sales measure is misaligned, when the same sales measure is performed on multiple occasions, or when the investment cost (X) of a sales measure is entered, etc. (1) By solving the simultaneous polynomials of Equation (2) and Equation (2), each sales measure has multiple sales measure investment cost (X) and sales measure profit efficiency (W) information. ), Sales measure profit efficiency (W) value can be obtained respectively.

  Further, for each of the formulas (1) and (2), the sales (A) and the profit / loss (B) are known in the game information management step of inputting and storing the game information, and the investment cost (X2) However, if it is possible to input the actual investment amount, it is possible to separately obtain the sales measure profit efficiency for sales (W21) and the profit measure for profit and loss (W22). That is, X and W calculated by solving the simultaneous equations of Equations (1) and (2), actual operating policy investment expenses (X2), operating policy profit efficiency for sales (W21), and profit and loss It becomes possible to compare the profitability (W22) of sales measures. Based on this comparison, for example, the difference in the sales strategy investment cost (X) obtained by solving the equation for the actual sales strategy investment cost (X2) is that this event was held at the same time as the new store opening event of another store. It may be interpreted as a reduction in the amount of investment that occurs from time to time. Entering the known sales (A) and profit / loss (B) and the actual operating policy investment expenses (X2), the sales policy profit efficiency W21 for sales is different from the profit / loss sales policy profit efficiency W22. For example, the case where the gaming machine shows an abnormal jackpot rate due to fraud can be exemplified.

  In addition, as a method of solving the simultaneous polynomials of the formulas (1) and (2), the formula (1) or the formula (2), a program obtained by programming a general mathematical technique can be used. For example, a matrix suitable for computer operations For example, a neural network or the like can be used.

  Sales in Pachinko Hall are, for example, the deposits received for renting game media, and are calculated as “(total deposit)-(settlement amount of the remaining number by the settlement machine)”. As an example, various methods for calculating sales close to this have been proposed and cannot be limited. For example, it may be “number of balls rented × 4 yen”. Similarly, profit and loss can be calculated using “(sales)-(cost of premium)-(each expense)”, but various methods for calculating profits and losses that are close to this have been proposed. Can not.

  Further, the information processing method of the present invention is characterized in that a calculation period can be arbitrarily set when calculating the effect in the business measure in the effect calculation step.

  According to this information processing method, it is possible to arbitrarily set the calculation period when calculating the effect on the sales policy, so it is possible to obtain information only for the necessary period, which is useful when considering the sales policy. Information can be obtained. For example, in the case where a predetermined employee education is conducted from four months ago, when the effect is compared between the four months before and after the predetermined period, the calculation period is arbitrarily set, and the calculation result during that period is set. Can be obtained.

  The information processing method of the present invention is characterized in that an effect can be calculated for each sales measure in the effect calculating step.

  According to this information processing method, since the effect can be calculated for each sales measure, it is possible to obtain information on only the necessary sales measure and to obtain useful information when considering the sales measure.

  Also, the information processing method of the present invention detects the fluctuation of the game information or the internal data calculated by the game information when the sales policy is not input to the sales policy input unit, which is controlled by the control unit. And when the fluctuation is detected by the fluctuation detecting means, the unknown sales measure effect calculating means for calculating the effect as an unknown sales measure, and the control means, An information processing method in the information processing apparatus further comprising an unknown sales measure effect output means for outputting an effect calculated by the unknown sales measure effect calculation means, wherein no sales measure is input to the sales measure input means In this case, the variation detection means detects the game information or the variation calculated by the game information, and the information based on the detection is A fluctuation detecting step for outputting to the control means; a detection information outputting step for outputting information based on the detection of the fluctuation to the unknown sales measure effect calculating means; and the unknown sales measure effect calculating means for the fluctuation. An unknown business measure effect calculating step of calculating an effect as an unknown sales measure based on information based on detection of the result and outputting the result to the unknown sales measure effect output means via the control means, and the unknown sales measure effect output means Comprises an unknown sales measure effect output step for outputting the calculated effect.

  According to this information processing method, in the internal data fluctuation detection step, the fluctuation of the game data or the internal data calculated based on the game information is detected, and the detected information is effective as an unknown sales measure by the unknown sales measure effect calculation step. Therefore, it is possible to grasp the influence of unknown factors such as when sales policies are not set. Further, the internal data fluctuation detection step and the unknown sales measure effect calculation step may be configured as a part of the effect calculation step, for example.

  Also, as internal data, for example, the base data of how many players to return to 100 shots that are the number of shots per minute of a pachinko game machine, the average of slot setting, the result of the survey by the store clerk entered The operational data, the corresponding number of people for each member category, etc. can be exemplified, and arbitrary data that is not set in advance may be used. Arbitrary data that is not set in advance may be divided into a plurality of levels in about five stages for the time being, an average value for each of the predetermined periods may be obtained, and this average value may be used as internal data. Since these internal data fluctuations can be detected and the effects caused by the fluctuations can be calculated, the effects caused by the unexpected fluctuations can be calculated.

  Further, in the information processing method of the present invention, the effect calculated in the effect calculating means step or the unknown sales measure effect calculating step is at least one of sales fluctuation, profit and loss change, profit efficiency in the sales measure. It is characterized by being.

  According to this information processing method, by obtaining at least one of sales fluctuations, profit / loss fluctuations, and profit efficiency, it is possible to measure the effect when a business measure is applied.

  Also, the information processing method of the present invention is an information processing method in the information processing apparatus further comprising genre registration means controlled by the control means, and specifying and registering a preset genre by dividing the sales measure. The control means reads out the genre registered in the genre registration means based on the output request, and calculates the effect calculated in the effect calculation step for each sales measure belonging to the genre for each genre. A genre information output step for outputting the arranged information to the calculation result output unit, and a calculation result output step for the calculation result output unit to output the information output in the genre information output step. And

  According to this information processing method, the effect calculated in the effect calculation step can be output for each genre registered in the genre registration step for each sales measure belonging to the genre. Can be searched. Further, the genre registration step may be configured as a part of the effect calculation step, for example.

  In addition, when the genre is set as the same sales measure, the average value of the effect of the same sales measure is obtained. The effect obtained by subtracting the average value of the effect for the same sales measure may be calculated as the effect of the sales measure different from the same sales measure. In this way, it is possible to calculate the effect by separating each of them based on the same business policy in the past even in the case of simultaneous start and end of multiple business measures.

  Furthermore, the information processing method of the present invention is an information processing method in the information processing apparatus further comprising a person-in-charge registration unit that is controlled by the control unit and registers information based on a person in charge of the sales measure. The control means reads out the person in charge registered in the person in charge registration means on the basis of the output request, and calculates the information obtained by summing up the effects calculated in the effect calculation step for each person in charge read out. The person-in-charge information output step for outputting to the output means, and the calculation result output means further includes a calculation result output step for outputting the information output in the person-in-charge information output step.

  According to this information processing method, in the calculation result output step, the effect calculated for each person in charge registered in the person in charge registration step can be output based on the output request. You can get information such as sales and profit / loss of sales policy. This makes it possible to evaluate the performance of each person in charge. The person-in-charge registration step may be configured as a part of the effect calculation step, for example.

  In the person-in-charge registration step, a plurality of persons in charge can be registered for each sales measure. In this case, a contribution rate that contributes to the sales measures of the plurality of registered people in charge is provided, and each person in charge is in accordance with the contribution rate. It is also possible to be able to output the effect calculated in In this way, the performance of each person in charge can be more accurately evaluated.

  In the information processing method of the present invention, in the calculation result output step, the effect calculated in the effect calculation step using the game information or internal data calculated by the game information as a calculation factor based on an output request. It is possible to display a graph by approximating a quadratic equation.

  According to this information processing method, the game information or the internal data calculated by the game information can be displayed in a graph by approximating the quadratic expression, so that the maximum value or the minimum value can be obtained, and the optimal sales policy The setting conditions can be grasped.

  Further, the information processing method of the present invention includes a map display unit that is controlled by the control unit and displays the effect for each region output from the calculation result output unit on the map for each region, and the control unit. An information processing method in the information processing apparatus, further comprising: a contour line display means that is controlled to display an equivalent area of the effect displayed by the map display means by contour lines, wherein the map display means outputs the calculation result A map display step for inputting the effect for each region output from the means and displaying it on a map for each region; and a contour line display step for showing a region equivalent to the effect displayed in the map display step by contour lines It is characterized by doing.

  According to this information processing method, the map display step can display the effect of each region output by the calculation result output step on the map of each region. For example, when distributing advertisements or the like, It is possible to grasp the effects of advertising in each region. Furthermore, since information such as sales, profit / loss, and number of members can be obtained for each region, it is important information when considering sales policies.

  Furthermore, since the contour display step can show the equivalent area of the effect displayed by the map display step by contour lines, it is important to consider important information for determining the distribution area of advertisements when considering sales measures, for example. Become. In addition to dividing the equivalent area of the effect by the contour line, the area may be divided by, for example, color coding. In addition, the map display step and the contour line display step may be configured as a part of the effect calculation step, for example.

  The information processing method of the present invention further includes related information display means that is controlled by the control means and displays at least a part of information stored in the game information management means related to the business measure. An information processing method in an information processing apparatus, wherein the control unit reads information related to the business measure from the game information management unit and outputs the information to the related information display unit, and the related information display The means further includes a related information display step for displaying information related to the business measure.

  According to this information processing method, since the related information display step can display at least a part of the information stored in the game information management step, for example, together with the display of the calculation result of the effect measurement of the business measure, The setting conditions of the sales measure can be displayed. In addition, you can display the results of calculation of the measures for sales measures shown in the map display step and display the setting conditions for the sales measures, and examine the sales measures while grasping the setting conditions for the sales measures. Is beneficial because it can be done.

  In addition, the information processing method of the present invention includes a game information management means for inputting and storing game information related to various devices installed in the game hall, and a change in internal data calculated by the game information or the game information. A fluctuation detecting means for detecting the fluctuation, an effect calculating means for calculating an effect on the fluctuation when the fluctuation is detected by the fluctuation detecting means, a calculation result output means for outputting the effect calculated by the effect calculating means, An information processing method in an information processing apparatus comprising the game information management means, the fluctuation detection means, the effect calculation means, and a control means for controlling the calculation result output means, wherein the game information management means is a game hall. A game information management step for inputting and storing game information related to various devices installed in the computer, and the fluctuation detecting means includes the game information Detects a change in internal data calculated by the game information and outputs information based on the detection to the control means; and the control means outputs the information based on the detection of the effect to the effect calculation means. Detection information output step to output to the effect calculation means, the effect calculation means to calculate the effect based on the information based on the detection of the fluctuation, to output to the calculation result output means via the control means, The calculation result output means comprises a calculation result output step for outputting the calculated effect.

  According to this information processing method, in the fluctuation detection step, it is possible to detect a change in the game data or the internal data calculated by the game information, and to calculate the effect in the fluctuation of the internal data in the effect calculation step. Therefore, even when no sales measure is set, the effect of the effect can be grasped based on fluctuations in internal data. It is also possible to examine the factors of fluctuation from the items of the fluctuating internal data.

  In addition, as various devices installed in the game hall, for example, a game machine such as a pachinko machine or a slot machine, and a machine between the machines installed between the machines and directing the game media or instructing the game machine to lend , A counter that counts acquired game media, a settlement machine that repays the frequency of a storage medium such as a card that has been inserted into a pedestal machine and has valuable information (frequency, etc.), and a prize management machine that pays out prizes based on the counting result (POS), replay accepting machines that give permission to lend out the stored amount as a counting result again at the gaming machine, issuing machines that issue storage media with a valuable value according to the deposit amount, etc. It is not limited, and includes devices that have information necessary for calculation of effect measurement, and devices that are set in game halls.

  In addition, the game information includes ID, frequency, rented ball, out (launched ball), safe (a ball supplied to the gaming machine, that is, a ball supplied to the upper plate of the game: the player's identification information) Earned balls), winning / losing (safe less subtracted), deposits, additional deposits, number of balls, number of stored balls, number of replayed balls, replay fee, points, game machine type, slot machine medal rate Information such as setting information, pachinko machine nail width and nail opening / closing information is included, but is not limited to this, and any information related to various devices installed in the game hall is included in this.

  Examples of the effect in the effect calculation step include, but are not limited to, the number of store visits before and after the input in the sales measure input step, the difference and ratio of sales, profit and loss, etc., or the fluctuation component of those indexed. Further, the effect calculated in the effect calculation step may be stored in the calculation result storage step or the like in correspondence with the changed internal data item, and may be read out in the calculation result storage step or the like as necessary. Further, the fluctuation detection step may be configured as a part of the effect calculation step, for example.

  In the calculation result output step, information is output to another display device. However, the present invention is not limited to this, and information may be displayed on a display device capable of communication.

  Also, as internal data, for example, the base data of how many players to return to 100 shots that are the number of shots per minute of a pachinko game machine, the average of slot setting, the result of the survey by the store clerk entered The operational data, the corresponding number of people for each member category, etc. can be exemplified, and arbitrary data that is not set in advance may be used. Arbitrary data that is not set in advance may be divided into a plurality of levels in about five stages for the time being, an average value for each division may be obtained for each predetermined period, and this average value may be used as internal data. Since these internal data fluctuations can be detected and the effects caused by the fluctuations can be calculated, the effects caused by the unexpected fluctuations can be calculated.

  Furthermore, in the information processing method of the present invention, in the effect calculation step, an average value of the game information or internal data calculated based on the game information is calculated, and an effect on the fluctuation is calculated based on the average value. It is characterized by that.

  According to this information processing method, when the average value of the game information or the value of the internal data calculated by the game information is calculated, and the fluctuation of the internal data is detected based on the average value as the normal data The effect is calculated. As a result, the average value becomes dull with respect to fluctuations such as instantaneous values, and this dull average value is used as a value when no fluctuation of internal data is detected, and the fluctuation component is calculated as an effect when business measures are taken. be able to.

  In this calculation, calculations using various calculation formulas can be adopted and cannot be limited. However, as the calculation, the difference between the average value and the instantaneous value, the ratio, the integration of the difference, etc. ”= P ד previous moving average value ”+ (1−P) ד current value ”, difference, ratio, difference in two kinds of“ current moving average values ”calculated when different P are set And integration of ratios. Furthermore, calculations such as a difference, a ratio, an integration of a difference, an integration of a ratio, etc. in every two types of “current moving average values” calculated when three or more different Ps are set can be exemplified.

  That is, for example, by comparing the instantaneous value of the game information with the average value of the game information when no change in internal data is detected, it is possible to capture the effect equivalent to applying some sales measure, The difference can be calculated numerically.

  In the information processing method of the present invention, in the effect calculation step, a predetermined game information in a predetermined period in which a change is not detected or an average value of values of internal data calculated by the game information is calculated, You may make it calculate the effect in a fluctuation | variation based on the value of the predetermined predetermined game information. In this way, since the fluctuation result is not included in the average value calculation, the effect measurement calculation can be performed with high accuracy.

  The information processing method of the present invention is characterized in that the effect calculated in the effect calculation step is at least one of sales fluctuation, profit / loss fluctuation, and profit efficiency due to fluctuations in the internal data. .

  According to this information processing method, by obtaining at least one of sales fluctuations, profit and loss fluctuations, and profit efficiency, it is possible to measure the effect of fluctuations in internal data.

  An information processing system according to the present invention is an information processing system including a general information processing apparatus communicably connected to each of the information processing apparatuses according to any one of claims 1 to 15 installed in a plurality of game halls. An information input means for inputting information related to the sales policy output from the information processing device of each gaming hall and internal data calculated by the gaming information and / or the gaming information; The information management means for storing the input information corresponding to each game hall and the information output means for outputting the information stored by the information management means are provided.

  According to this information processing system, the overall information processing apparatus is communicably connected to each of the information processing apparatuses according to any one of claims 1 to 15 installed in a plurality of game halls, and the information input means Information related to the sales policy and game information and / or internal data calculated by the game information can be input. Then, the information output means can output the information stored by the information management means. For this reason, for example, sales measures in other game halls and game information such as the effect of the sales measures and / or internal data calculated by the game information are used as reference information when examining the sales measures of the own hall. And can be referred to by the information output means.

  The information output means outputs information to the information processing apparatus installed in each game hall that is communicably connected to the central information processing apparatus. However, the information output means is not limited to this, and has a display function to output information. It may be displayed.

  Further, the information processing system of the present invention includes an information calculation and aggregation means capable of calculating and / or totalizing each information based on information stored in the information management means and creating processing information, and the information The output means outputs the machining information created by the information calculation totaling means.

  According to this information processing system, the information calculation totaling unit calculates and / or totals each piece of information based on the information stored in the information management unit to create processing information. Then, the information output means can output the processing information. Thereby, for example, in each gaming hole, various information of other gaming holes and various information calculated and / or tabulated for the entire affiliated gaming hole can be referred to. By obtaining this information, it is possible to obtain affiliated game halls and various information aggregated with rankings nationwide, and obtain information such as the position of the own game hall in affiliated game halls and nationwide game halls. it can.

  The information output means may receive an instruction input from the terminal of the game hall or the information processing apparatus of the present invention, and output the processing information according to the input instruction. The information output means may output the information selected by the instruction when there are a plurality of pieces of processing information or information stored in the information management means. Further, when there are a plurality of calculations and / or tabulations performed by the information calculation tabulation unit, the calculations and / or tabulations selected by the instructions may be selected and performed. In addition, when the information management means newly stores the information regardless of the instruction, the latest processing information may always be created so that the processing information can be output immediately if the instruction is received. Then, calculation and / or totalization may be performed by a calculation totaling unit.

  Furthermore, the information processing system of the present invention is characterized in that in the information processing system, a setting for making it impossible to output information by the information output means to a predetermined game hall is possible.

  According to this information processing system, it is possible to make settings so that information cannot be output by the information output means. For example, a neighboring rival game hall can provide information such as sales measures for its own game hall and various data. Can be made unavailable. Further, the information output means can be set so that only the affiliated store can output, the output to other game halls cannot be performed, and the outflow of information can be prevented. It is also possible to set up a game hall that does not disclose information even at affiliated stores.

  Further, in the information processing system according to the present invention, the information calculation totaling means can total the information for all or predetermined game holes based on the information from each of the game holes stored in the information management means. It is characterized by.

  According to this information processing system, it is possible to aggregate information on all or predetermined game halls, so that necessary information can be obtained accurately.

  The predetermined game hall includes one or a plurality of specific game hall groups such as affiliated stores registered in advance, a group searched by a search means provided in the overall information processing apparatus, and the like. Examples of these groups include a suburban game hall group for each large, medium, and small scale along the main road, and a station hall game hall group for each large, medium, and small scale in the vicinity of each large, medium, and small scale station.

  In addition, the information processing system of the present invention can calculate an effect integrated value for each person in charge of sales measures in the aggregation of information in all or predetermined game halls, and the effect integrated value and the salary of the person in charge Information can be displayed.

  According to this information processing system, it is possible to calculate the effect integrated value for each person in charge of sales measures, and to display the effect integrated value and salary information of the person in charge. And can be graphed. As a result, a relative comparison between the results of each person in charge and the salary can be performed, and this can be used as an index for evaluating each person in charge.

  According to the information processing apparatus, the information processing method, and the information processing system of the present invention, it is possible to measure the effect of a sales measure held in a game hall for each measure and quantify the result.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 shows a schematic diagram of an information processing system 1 including a management device 13 that functions as an information processing device according to an embodiment of the present invention. Further, FIG. 2 shows a schematic diagram showing an overview of each gaming hall management device 13 connected to the overall management device 25 of the overall information center 24 via the external network 23.

  In the information processing system 1 including the management device 13, the plurality of pachinko machines 2 and the inter-machines 3 and 4 connected to each of the plurality of pachinko machines 2, the plurality of slot machines 5, and the slot machines 5 are connected. The pedestal machine 6 is connected to the network 8 via the island computer 7.

  Further, the network 8 includes, for example, a counter 9 that counts the number of pachinko balls and medals that are game media, and stores the number of balls, an accepted member IC card 30 or a non-member IC card 31 (storage medium). The cashier 10 that returns the balance of the frequency (value) in cash, the IC card 30 for the member received, and the receipt that records the information on the number of stored balls. When the type and quantity are displayed and the prize dispenser 18 is provided, the prize management machine (POS) 11 that indicates the type and quantity of the prize to be paid out to the prize dispenser 18 and the member IC card 30 are stored. Based on the ID, a request signal for rewriting the information on the replay FLG, the number of stored balls and the number of stored balls for replay of the management device 13 is transmitted to the management device 13 via the network 8, and The replay accepting machine 12 that makes the state ready to perform a renewal, the frequency corresponding to the amount selected with the purchase frequency button for the received banknote amount is updated to the IC card 30 for the member, or the frequency corresponding to the amount is Issuing machine 20 that issues the stored non-member IC card 31 and a data display device that is attached to the upper part of each gaming machine and displays information such as a slump graph, the number of starts, and the number of jackpots in each gaming machine 21. Information such as a slump graph, the number of starts, the number of jackpots, etc. of each gaming machine can be searched, and a data publishing machine 22 that displays the search information on the display unit and provides it to the player is connected. Yes.

  Here, the member player is registered in the management device on the basis of the ID that identifies the member player from each other, such as address, name, age, gender, favorite stand, contact information, PIN number, etc. A player having the IC card 30 for members. A non-member player means a general player who is not registered as a member.

  Information from these devices is output to the management device 13 via the network 8, and further, as shown in FIG. 2, the overall management device of the overall information center 24 via the protocol converter 14, the modem 15, and the external network 23. 25. Information from other game halls is also transmitted to the overall management device 25, and the overall management device 25 performs, for example, totalization for each game hall or totalization for the entire group game hall. Further, the information collected in the overall management device 25 can be viewed on the personal computer 17 provided in the management device 13 of each game hall. On the other hand, information from the management apparatus 13 can be output to each device via the network 8.

  The member IC card 30 or the non-member IC card 31 used in the information processing system 1 according to the embodiment of the present invention, and the intermediary machines 3, 4, 6 provided in the information processing system 1, The management device 13 that functions as an information processing device will be described.

(Member IC card 30 and non-member IC card 31)
First, the member IC card 30 and the non-member IC card 31 will be described with reference to FIG.

  FIG. 3A is a perspective view of a member IC card 30 that is a card-shaped storage medium used by a member player, and FIG. 3B is a card-shaped storage medium used by a non-member player. It is a perspective view of a certain non-member IC card 31. FIG.

  The member IC card 30 and the non-member IC card 31 are storage media having IC chips conventionally used in gaming systems, and have a card shape. The non-member IC card 31 is configured so that the length and width of the card are shorter than that of the member IC card 30, and the thickness is thinner.

  These member IC card 30 and non-member IC card 31 are non-contact type storage media having IC chips 30a and 31a and antenna portions 30b and 31b surrounding the IC chips 30a and 31a. Information can be read from and written to the IC chips 30a and 31a via 30b and 31b.

  In the management system using the member IC card 30 or the non-member IC card 31, any one of the following management systems can be adopted.

  The member IC card 30 has (1) storage information of only ID, and other information includes a system managed by the management device 13 or (2) information such as valuable information such as frequency in addition to the ID. In addition, a system in which the information is also managed by the management apparatus 13 can be adopted.

  Here, the information when using the member IC card 30 includes ID, frequency, ball rental, out (fire ball), safe (supply ball to the gaming machine, that is, supply ball to the upper plate of the game: game ), Winning / losing (safe less subtracted), deposit, additional deposit, number of balls, number of stored balls, number of stored balls for replay, replay fee, points, type of game machine, etc. Information history information, daily information, weekly information, membership information such as address, name, age, gender, favorite platform, contact information, and PIN.

  In addition, the above points include store visit points (points awarded when a member IC card is inserted into a machine), ball rental points (points given according to the number of balls lent), win / loss points (safe from out number) There are points given to losing customers according to the difference in number), operating points (points given according to the number of outs), and the like.

  Further, the information managed by the management device 13 when the member IC card 30 is used is not limited to these, and can be managed as long as it is information necessary for game management.

  The non-member IC card 31 has (3) storage information of only ID, other information includes a system managed by the management device 13, and (4) information such as valuable information such as frequency, and the management device 13 can employ a system that does not manage the information, and (5) information that includes valuable information such as frequency in addition to the ID, and the information is also managed by the management apparatus 13. (4) is not adopted in the member IC card 30 that needs to manage information in the management device 13.

  Here, the information when the non-member IC card 31 is used is information such as frequency, rented money, deposit, additional deposit, number of rented balls, PIN number, etc., and these information are managed only for a predetermined period. Information. The information managed by the management device 13 when the non-member IC card 31 is used is not limited to these, and can be managed as long as it is information necessary for game management.

  Although a case where a card-shaped IC card is used as a storage medium has been described here, the present invention is not limited to this shape, and a coin-shaped IC coin can also be used.

(Between machines 3, 4, 6)
Next, the inter-machines 3, 4, and 6 will be described with reference to FIGS.

  4 to 6 are plan views of the intermediary machines 3, 4, 6 and FIG. 7 is a partially enlarged front view of the display unit 3e of the intermediary machine 3. FIG. 8 shows an internal configuration diagram of the inter-machines 3, 4, 6.

  FIGS. 4 to 6 are views of the three types of intermediary machines 3, 4, and 6 as viewed from the front. The intermediary machine 3 (unit) shown in FIG. 4 and the intermediary shown in FIG. The machine 4 (sand) is for a pachinko machine, and the inter-machine 6 (inter-medal renting machine) shown in FIG. 6 is for a slot machine.

  Since the inter-machine 3 (unit) can communicate information with the pachinko machine 2, when the ball lapping button 3b of the pachinko machine 2 is pressed, the pachinko machine 2 supplies the pachinko balls directly from the pachinko machine 2 to the upper plate of the pachinko machine 2. be able to. On the other hand, since the machine 4 (sand) cannot communicate with the pachinko machine 2, the pachinko balls are supplied to the upper plate of the pachinko machine 2 from the nozzle of the machine 4 (sand).

  In addition, since the machine 6 (the machine for lending the machine) cannot communicate with the gaming machine similarly to the machine 4 (the sand), the medal is the medal of the machine 6 (the machine for lending the machine). It is supplied to the payout opening 6m and moved to the slot machine 5 by the player. In addition, a nozzle may be attached to the medal payout opening 312 of the intermediary machine 6 (intermediate medal lending machine) so that the medal is automatically supplied to the medal payout outlet 312 of the slot machine 5.

  In addition, on the front of each of the intermediary machines 3, 4 and 6, there are card insertion openings 3a, 4a and 6a, ball rental buttons 3b and 4b (the game machine has a ball rental button, so the intermediary machine 3 (unit ), Replay ball rental buttons 3c, 4c, medal button 6b, medal button 6c for replay, return buttons 3d, 4d, 6d, display units 3e, 4e, 6e, status display Lamps 3f, 4f, 6f, card collection units 3g, 4g, 6g, remote control light receiving units 3h, 4h, 6h, card type display lamps 3i, 4i, 6i, bill insertion slots 3j, 4j, 6j, numeric keys 3k, 4k, 6k Etc. are provided. In addition, as shown in FIG. 8, a control unit 35, a card processing machine 37, a power supply circuit 36, a banknote identification device (bill burr) 19 with a storage mechanism, and the like are installed in the interstage machines 3, 4, 6. .

  The card processor 37 moves the member IC card 30 or the non-member IC card 31 inserted from the card insertion slot 3a, 4a, 6a to a predetermined position by the transport means, and the member IC card 30 or the non-member IC card Information such as an ID is read from the IC card 31, and is configured by, for example, a reader / writer. Further, the card processing machine 37 takes out the non-member card from the card storage unit that stores the non-member card with the frequency of 0 provided in the card processing machine 37, and stores, for example, an ID or the like to store the card. It can also be reissued from the insertion ports 3a, 4a, 6a.

  Here, when one member IC card 30 or non-member IC card 31 is inserted from the card insertion slot 3a, 4a, 6a, for example, by mechanical card insertion prevention means (not shown) such as a solenoid. Since the card insertion slots 3a, 4a, 6a are blocked, it becomes impossible to insert another member IC card 30 or non-member IC card 31. As a result, it is possible to prevent card clogging or the like caused by inserting a plurality of member IC cards 30 or non-member IC cards 31 into the card insertion openings 3a, 4a, 6a. Further, card jamming may be prevented by other methods without using a mechanical card insertion preventing means such as a solenoid.

  The ball rental buttons 3b and 4b are buttons that are pressed when the player requests the pachinko ball rental. For example, when the ball lending buttons 3b and 4b are pressed once, a pachinko ball for 500 yen is lent out. Note that pachinko balls are rented in units of 500 yen as standard, and are rented in five portions of 100 yen (25 balls).

  The medal rental button 6b is a button that is pressed when the player requests medal lending. For example, when the rental medal button 6b is pressed once, a medal for 1,000 yen is lent out. The medal is lent out in units of 1000 yen.

  The replay ball rental buttons 3c and 4c and the replay loan medal button 6c are used only when the IC card for a member for which a replay procedure is performed in the replay acceptance machine 12 is used, and can be used for replay. Pressed when lending a pachinko ball or medal that can be done.

  The return buttons 3d, 4d, and 6d are operation buttons for discharging the member IC card 30 or the non-member IC card 31 inserted from the card insertion openings 3a, 4a, and 6a. It is what

  In the display units 3e, 4e, 6e, for example, as shown in a partially enlarged front view of the display unit 3e of the inter-vehicle machine 3 shown in FIG. Stands such as “Region Number Input” display prompting the user to enter the area number, “Member” display indicating that the IC card 30 for members is being used, and “Replay” display indicating that replay is being performed. Display items indicating the usage status of the machines 3, 4, and 6 are provided. The display units 3e, 4e, and 6e are provided with a 2-digit 7-segment LED display unit that indicates the remaining frequency, a 4-digit 7-segment LED display unit that is used for inputting a personal identification number, and the like. Note that the items displayed on the display units 3e, 4e, and 6e are not limited to these, and predetermined items can be set as necessary.

  The status display lamps 3f, 4f, and 6f are for visually identifying the status of the inter-vehicle machines 3, 4, and 6. For example, the status display lamps 3f, 4f, and 6f flash red when an error occurs and light green when normal operation occurs. The power is turned off, and it is turned off during offline operation.

  The card collection units 3g, 4g, and 6g collect the non-member card 31 when the storage limit of the non-member card 31 is reached in the card storage unit that stores the non-member card 31 of the card processor 37. To do. For example, when the non-member IC card 31 stored in the card storage unit becomes full, a part of the stored non-member IC card 31 is guided to the card discharge unit provided in the card storage unit and dropped. And collect it in the card collection units 3g, 4g, and 6g. The non-member card 31 collected by the card collection units 3g, 4g, 6g is collected by a store clerk or the like, for example, after the end of business.

  The remote control light receiving units 3h, 4h, and 6h are portions that receive the remote control used by the store clerk in the game hall.

  The card type display lamps 3i, 4i, 6i can be lit in three types, for example, green, red, and blue. For example, when the green light is on, the cash is on, that is, the banknote is directly used and no card is inserted. When the red light is on, the member IC card 30 is used. It shows that the IC card 31 is used.

  The numeric keys 3k, 4k, and 6k are used, for example, for a player to input an area number, a password, and the like, and include buttons 0 to 9, alphabet buttons, and the like.

  The control unit 35 controls each component device in the interstage machines 3, 4, 6, and performs information communication with, for example, the island computer 7 other than the interstage machines 3, 4, 6. 35a, a CPU 35b, a ROM 35c, and a RAM 35d.

  The power supply circuit supplies power for driving each component device in the inter-vehicle machine 3, 4, 6 to each component device.

  The bill discriminating apparatus (bill burr) 19 with a storage mechanism is a compact bill discriminator that can handle four types of bills inserted from the bill insertion slots 3j, 4j, 6j. The computer 7 is connected so that information communication is possible. In addition, the banknote identification device (bill burr) 19 with a storage mechanism can accept only a predetermined banknote, for example, only a thousand yen bill.

  As shown in FIG. 1, for example, as shown in FIG. 1, the banknote recognition device with a storage mechanism (bill burr) 19 has a ratio of one unit to two unit machines 3, 4, 6. A bill discriminating device with a storage mechanism (bill burr) 19 can be installed on the upper fixed lamp plate portion. Moreover, as shown to FIGS. 4-6, 8, the banknote identification device 19 with a storage mechanism can also be comprised integrally with the main body of the interstage machine 3,4,6.

  As shown in FIG. 1, when the banknote identification device 19 with a storage mechanism is installed at a ratio of one to the two intermediary machines 3, 4, 6, the banknote insertion port 19 a of the banknote identification device 19 with a storage mechanism It is necessary to determine which of the two pachinko machines 2 or the slot machine 5 is to be deposited into the pachinko machine 2 or the slot machine 5. Therefore, two billing machine designation buttons 19b are provided in the bill discriminating device 19 with a storage mechanism, and the designation of the pachinko machine 2 or the slot machine 5 on the deposited side is performed by pressing the gaming machine designation button 19b on the deposited side. I do.

  Next, the operation of the inter-machines 3, 4, and 6 will be described with reference to FIGS.

  Since the basic operations of the inter-vehicle machines 3, 4, and 6 are the same, the operation of the inter-vehicle machine 3 (unit) will be described here as an example. FIG. 9 is a diagram showing the constituent parts of the intermediary machine 3, and FIGS. 10 and 11 are diagrams showing the flow of operations in the intermediary machine 3.

  Further, here, the member IC card 30 or the non-member IC card 31 has only an ID, and other information will be described in the operation in the system managed by the management device 13. Furthermore, in this explanation, when the IC card 30 for members is used, after the replay acceptance machine 12 accepts the replay, the replay FLG is 1, and the number of balls available for replay is replayed. It is assumed that the system has the management device 13 as the number of storage balls for use.

  As shown in FIG. 9, the intermediary machine 3 is mainly composed of a control means 100, a card processing means 101, a bill identifying means 102, and a selection button detecting means 103.

  The control means 100 is composed of a control unit 35, and is mainly composed of an arithmetic unit (CPU), a read-only memory (ROM), and a random access memory (RAM). In the CPU, programs and data stored in the ROM and RAM. Etc. are used to execute various arithmetic processes. In this control means 100, information input / output between each means of the card processing means 101, bill identifying means 102, selection button detection means 103, and information with the management device 13 via the island computer 7 and the network 8. I / O is controlled. Here, the island computer 7 communicates information between the pachinko machine 2, the slot machine 5, and the inter-vehicle machine 3 and the network 8, and is constituted by a data logger or the like.

  The card processing means 101 reads, for example, an ID or valuable information managed by the ID stored in the member IC card 30 or the non-member IC card 31 inserted from the card insertion slot 3a. Information is output to the control means 100, and updated valuable information from the control means 100 is written to the member IC card 30 or the non-member IC card 31, such as a card processor 37. Consists of. Here, the card processing unit 37 is used as the card processing unit 101.

  Further, when issuing the non-member IC card 31, the card processing means 101 stores an ID or the like in the non-member IC card 31. Further, the card processing means 101 has a card conveying means such as a card conveying belt, and the card conveying means reads, for example, the member IC card 30 or the non-member IC card 31 inserted from the card insertion slot 3a as a reader / writer. Move to a position where it can communicate with the department.

  The banknote recognition means 102 is comprised by the banknote identification device 19 with a storage mechanism, identifies four types of banknotes, and outputs the information of the identified banknote to the control means 100. Here, the banknote recognition apparatus 19 with a storage mechanism that functions as the banknote identification means 102 is configured integrally with the inter-bed machine 3.

  For example, the selection button detection unit 103 detects that the ball rental button 3b, the replay ball rental button 3c, the return button 3d, and the numeric keypad 3k are pressed, and based on the pressed signal, the control unit 100 A signal is output. Further, the selection button detection means 103 inputs information from the remote control light receiving unit 3h and outputs the information to the control means 100.

  And each means of the card | curd processing means 101, the banknote identification means 102, and the selection button detection means 103 controlled by the control means 100 operate | moves as follows (FIGS. 10 and 11).

  The card processing means 101 waits for the insertion of the member IC card 30 or the non-member IC card 31 from the card insertion slot 3a, and when detecting the insertion of the member IC card 30 or the non-member IC card 31, The process according to it is performed. Moreover, the banknote identification means 102 is waiting for insertion of the banknote from the banknote insertion port 3j, and will detect the insertion of a banknote, and will perform the process according to it.

  The banknote identification means 102 determines whether or not a banknote has been accepted (step S110).

  In the case of Yes in step S110, the banknote recognition unit 102 outputs the information to the control unit 100, and the control unit 100 continues to control the control unit 100 based on the information from the card processing unit 101. It is determined whether or not the member IC card 30 or the non-member IC card 31 is inserted into the card insertion slot 3a (step S111).

  If the determination in step S111 is No, the control unit 100 takes out the non-member IC card 31 stored in the card storage unit of the card processing unit 101 and uses the non-member IC card 31 as the reader / writer unit. The information for moving to the card processing unit 101 is output. And ID is memorize | stored in the IC card 31 for nonmembers moved to the position which can communicate with a reader-writer part. The control means 100 outputs information corresponding to the deposited amount to the management device 13 based on the assigned ID. The management device 13 stores information corresponding to the deposit amount based on the information as the ID (step S112). If the non-member IC card 31 is not stored in the card storage unit of the card processing means 101, an ID is given to the cash-on card, and the management device 13 responds to the deposit amount based on the ID. Store information. Similar to the non-member IC card 31, this cash-on card is a non-contact type storage medium having an IC chip and an antenna unit surrounding the IC chip, and reading / writing information from / to the IC chip via the antenna unit. Can be issued, but cannot be issued from the inter-machine 3. The cash-on card is used when, for example, when the number of non-member IC cards 31 stored in the card storage unit becomes “0”, cash is accepted and the non-member IC card is received from the card storage unit. For example, there is a request to issue 31.

On the other hand, if it is determined in step S111 that the member IC card 30 or the non-member IC card 31 is inserted (Yes in step S111), the control unit 100 determines whether the member IC card 30 or the non-member IC card 31 is inserted. Based on the ID of the member IC card 31, information corresponding to the deposited amount is output to the management device 13. The management device 13 stores the information corresponding to the deposit amount based on the information as the ID (step S113).
After step S112 or step S113, the process proceeds to step S116.

  In addition, when the control unit 100 determines that the banknote is not accepted based on the information from the banknote identification unit 102 (No in step S110), the control unit 100 performs the card process. Based on the information from the means 101, it is determined whether or not the member IC card 30 or the non-member IC card 31 is inserted in the card processing means 101 (step S114).

  If it is determined in step S114 that the member IC card 30 or the non-member IC card 31 is not inserted (No in step S114), the control means 100 is provided on the display unit 3e. The “deposit possible” lamp is turned on to indicate to the player that the deposit is possible (step S115). Then, return and return to the start.

  On the other hand, when it is determined in step S114 that the member IC card 30 or the non-member IC card 31 is inserted (Yes in step S114), the control means 100, based on the information, Information for moving the inserted member IC card 30 or non-member IC card 31 to the reader / writer unit is output to the card processing means 101. Then, the card conveying belt as the card conveying means of the card processing means 101 is driven, and the inserted member IC card 30 or non-member IC card 31 is moved to a predetermined position where it can communicate with the reader / writer unit. (Step S116).

  Subsequently, the control means 100 operates, for example, a mechanical card insertion preventing means such as a solenoid to prevent the member IC card 30 or the non-member IC card 31 from being inserted from the card insertion port 3a ( Step S117).

  Subsequently, the control unit 100 can read and / or write information on the member IC card 30 or the non-member IC card 31 inserted into the card processing unit 101 based on information from the card processing unit 101. It is determined whether or not there is (step S118).

  If it is determined in step S118 that the information of the inserted member IC card 30 or non-member IC card 31 cannot be read and / or written (No in step S118), the control means 100 Outputs information that causes the card processing means 101 to return the defective card. The card processing means 101 drives the card transport belt, returns the defective card from the card insertion slot 3a (step S119), and returns to the start. .

  Subsequently, the control means 100 determines whether or not the member IC card 30 or the non-member IC card 31 inserted into the card processing means 101 is defective in conveyance based on information from the card processing means 101. (Step S120).

  If it is determined in step S120 that the conveyance failure has occurred (Yes in step S120), the control unit 100 outputs, for example, information based on the conveyance failure to the management device 13, and the management device 13 The information based on the occurrence of the conveyance failure is output to the prize management machine (POS) 11 provided in the game hall, and waits until the conveyance failure is improved. Further, based on the information on the conveyance failure from the control means 100, for example, a buzzer provided in the inter-table machine 3 can be sounded, or it can be informed that a conveyance failure has occurred by on-site broadcasting (step S121). .

  Subsequently, the operation of inputting the area number information to obtain the area number information by causing the player to input the area number will be described (steps S122 to S128).

  Here, for example, an advertisement as shown in FIG. 12 is distributed by a leaflet of a newspaper, etc., and the player is notified of the area number of his / her place of residence. In this flyer, it is described that a specially high point is given and exchanged for a product equivalent to 1000 yen, but this privilege can be set appropriately, for example, when the card is returned, If “ATARI” is turned on, the card can be given to the front to give a special benefit such as providing information on a special game table. Further, the area number may be classified by, for example, every newspaper store or every delivery area of a newspaper delivery person, in addition to being classified by residence area.

  First, the control means 100 determines whether or not the card inserted in the card processing means 101 is the member IC card 30 based on the information from the card processing means 101 (step S122).

  If it is determined in step S122 that the card inserted in the card processing unit 101 is the member IC card 30 (Yes in step S122), the process proceeds to step S129. Here, for the member player who uses the member IC card 30, since personal information such as an address has already been registered, the operation of inputting the area number may not be performed.

  On the other hand, when it is determined in step S122 that the card inserted in the card processing unit 101 is not the member IC card 30 (No in step S122), the control unit 100 is provided in the display unit 3e. The lamp of “input area number” is turned on, and for example, an input request for the area number shown in the advertisement shown in FIG. 12 is shown to the player (step S123).

  Subsequently, the control unit 100 lights “0000” on the 4-digit 7-segment LED display unit provided in the display unit 3e (step S124).

  Subsequently, the control unit 100 is in a state of accepting the input of the area number (step S125), and determines whether or not the area number has been input by the numeric keypad 3k based on the information from the selection button detection unit 103 (step S125). S126).

  If it is determined in step S126 that the area number has not been input (No in step S126), the process returns to step S125.

  On the other hand, when it is determined in step S126 that the area number has been input (Yes in step S126), the control unit 100 responds to the area number based on the information from the selection button detection unit 103. Information is output to the management apparatus 13 (step S127). And the management apparatus 13 memorize | stores and manages the information based on ID (step S127).

  Subsequently, the control means 100 turns off the “area code input” lamp provided on the display unit 3e, and indicates completion of inputting the area code to the player (step S128).

  After the operation for inputting the area number information for obtaining the area number information is completed, or when the IC card 30 for membership is determined in the determination in step S123 (Yes in step S123), the control means 100 displays on the display unit 3e. The provided “deposit possible” lamp is turned on to indicate to the player that the deposit is possible (step S129).

  Further, the control means 100 causes the 2-digit 7-segment LED display section provided on the display section 3e to display the number of balls that can be rented (step S130).

Then, it progresses to step S131 shown in FIG.
Based on the information from the selection button detection unit 103, the control unit 100 determines whether or not the ball rental button 3b has been pressed (step S131).

  If it is determined in step S131 that the ball rental button 3b has been pressed (Yes in step S131), the control unit 100 outputs information for making a ball rental to a game medium lending unit (not shown). And let the ball rental process be performed. Then, the control means 100 transmits the ID of the member IC card 30 or the non-member IC card 31 and the frequency balance subtracted based on the rented ball to the management device 13. And the management apparatus 13 memorize | stores such information for every ID (step S132).

  Furthermore, when the member IC card 30 is used, the management device 13 adds points given according to the frequency corresponding to the ball rental request signal based on the ID (step S133).

  When it is determined in step S131 that the ball rental button 3b has not been pressed (No in step S131), the control unit 100 replays the ball for replay based on the information from the selection button detection unit 103. It is determined whether or not the button 3c has been pressed (step S134).

  If it is determined in step S134 that the replay ball rental button 3c has been pressed (Yes in step S134), the control means 100 manages the replay ball rental request signal based on the ID. Transmit to device 13. The management device 13 outputs the value of the replay FLG managed based on the ID to the control means 100. The control means 100 determines the value of the replay FLG from the management device 13 (step S135). Here, when the replay acceptance machine 12 accepts the replay FLG, which is a stored value in the management device 13, the replay FLG is "1". When not accepted, the replay FLG is "0".

  When it is determined in step S135 that the replay FLG is “1” (“1” in step S135), the control means 100 displays the 2-digit 7-segment LED provided on the display unit 3e. The part is displayed with a frequency corresponding to the number of replayable balls, and the “replay” display is lit (step S136).

  Further, the control means 100 outputs information for making a ball rental to a game medium lending means (not shown) based on a replay ball rental request signal when the replay ball rental button 3c is pressed. , Let the ball processing. Then, the control means 100 transmits the ID of the member IC card 30 and the power balance corresponding to the number of replayable storage balls subtracted based on the replaying loaned ball to the management device 13. The management device 13 stores these pieces of information for each ID (step S137).

  On the other hand, if it is determined in step S135 that the replay FLG is “0” (“0” in step S135), the pachinko ball is not lent and the process proceeds to step S140.

  If it is determined in step S134 that the replay ball rental button 3c is not pressed (No in step S134), the process proceeds to step S138.

  Subsequently, the control means 100 receives information on the number of replay balls from the management device 13, and determines whether or not the number of balls for replay is “0” based on the information (step S138).

  If it is determined in step S138 that the number of replayed balls is “0” (Yes in step S138), the control unit 100 manages information for rewriting the value of the replay FLG to “0”. 13 is output. Then, the management device 13 rewrites the value of the replay FLG to “0” based on the ID (step S139).

  Subsequently, after the operation of step S139 or when it is determined in step S138 that the number of replayed balls is not “0” (No in step S138), the control unit 100 selects the selection button detection unit 103. Whether or not the return button 3d has been pressed is determined based on the information from (step S140).

  If it is determined in step S140 that the return button 3d has not been pressed (No in step S140), the process proceeds to step S146.

  On the other hand, when it is determined in step S140 that the return button 3d has been pressed (Yes in step S140), the control unit 100 subsequently determines the non-member IC based on the information from the card processing unit 101. It is determined whether or not the card 31 is inserted in the card processing means 101 (step S141).

  If it is determined in step S141 that the non-member IC card 31 is not inserted into the card processing unit 101 (No in step S141), the control unit 100 connects the card processing unit 101 to the card insertion slot 3a. The information for returning the member IC card 30 is output. The card processing means 101 returns the member IC card 30 based on the information (step S142).

  On the other hand, if it is determined in step S141 that the non-member IC card 31 has been inserted into the card processing unit 101 (Yes in step S141), the control unit 100 continues from the card processing unit 101. Based on the information, it is determined whether or not the non-member IC card 31 has a power balance (step S143).

  When it is determined in step S143 that the non-member IC card 31 has a power balance (Yes in step S143), the control unit 100 inserts the card processing unit 101 into the non-member IC card from the card insertion slot 3a. The information which returns 31 is output. Then, the card processing means 101 returns the non-member IC card 31 based on the information (step S144).

  On the other hand, if it is determined in step S143 that the non-member IC card 31 does not have a power balance (No in step S143), the control unit 100 stores the card of the non-member IC card 31 in the card processing unit 101. Outputs information for performing a storage operation in the storage unit. Then, the card processing unit 101 stores the non-member IC card 31 in the card storage unit (step S145).

  Subsequently, the control unit 100 determines whether or not the member IC card 30 is inserted in the card processing unit 101 based on the information from the card processing unit 101 (step S146).

  If it is determined in step S146 that the member IC card 30 has been inserted (Yes in step S146), the control means 100 lights the card type display lamp 3i in red (step S147).

  The control means 100 outputs information for sealing the card insertion slot 3a to a mechanical card insertion prevention means such as a solenoid, and the card insertion prevention means seals the card insertion slot 3a based on the information (step) S148).

  On the other hand, if it is determined in step S146 that the member IC card 30 has not been inserted (No in step S146), the control unit 100 then proceeds based on the information from the card processing unit 101. It is determined whether or not the non-member IC card 31 is inserted in the card processing means 101 (step S149).

  If it is determined in step S149 that the non-member IC card 31 is inserted (Yes in step S149), the control unit 100 turns on the card type display lamp 3i in blue (step S150).

  The control means 100 outputs information for sealing the card insertion slot 3a to a mechanical card insertion prevention means such as a solenoid, and the card insertion prevention means seals the card insertion slot 3a based on the information (step) S148).

  On the other hand, if it is determined in step S149 that the non-member IC card 31 is not inserted (No in step S149), the control means 100 turns on the card type display lamp 3i in green (step S151). ). As an example of a state in which the card type display lamp 3i is lit in green, a cash-on card may be used.

  Subsequently, the control unit 100 outputs the information to the management device 13, for example, and outputs the information from the management device 13 to the prize management machine (POS) 11 provided in the game hall, for example, a cash on card. Is displayed to inform the store clerk. In addition, for example, a buzzer provided in the inter-vehicle machine 3 can be sounded or the store clerk can be notified by broadcast in the hall (step S152).

  In addition, the operation of the above-described intermediary machine 3 is an example, and the operation of the intermediary machine 3 is not limited to the above-described operation.

  In addition, the area number information input operation (step S122 to step S128) for obtaining the area number information by allowing the player to input the area number is not only provided for the processing operation of the inter-vehicle machine 3, but for example, It may be provided for the processing operation of the issuing machine 20. In this case, the issuing machine 20 is provided with a numeric keypad or the like for inputting the area number as in the inter-machine 3.

(Management device 13)
Next, the management apparatus 13 will be described with reference to the drawings.

  FIG. 13 is a diagram illustrating a configuration unit of the management apparatus 13, and FIG. 14 is a diagram illustrating an operation flow in the management apparatus 13.

  As shown in FIG. 1, the management device 13 is connected between a plurality of pachinko machines 2, inter-machine machines 3 and 4 connected to each of the plurality of pachinko machines 2, a plurality of slot machines 5, and a slot machine 5. The inter-machine 6 is connected to the island computer 7 and the network 8. The management device 13 is also connected to the counter 9, the payment machine 10, the prize management machine (POS) 11, the replay accepting machine 12, the issuing machine 20, the data display machine 21, the data publishing machine 22, etc. via the network 8. Has been.

  Further, the information input to the management apparatus 13 via the network 8 is transmitted to the overall management apparatus 25 of the overall information center 24 via the protocol converter 14, the modem 15, and the external network 23 as shown in FIG. . On the other hand, information from the management apparatus 13 can be output to each device via the network 8.

  The management device 13 is also connected to, for example, a personal computer 17 and the like, and the personal computer 17 can view information on the management device 13 and information from the overall management device 25. In the personal computer 17, for example, various settings of the management apparatus 13 such as a setting for measuring the effect of each sales measure, a setting of a replay fee, and member registration can be performed. Further, each information can be printed by connecting the personal computer 17 to, for example, a printer.

  The management device 13 includes: inter-machines 3, 4, 6, a counter 9, a payment machine 10, a gift management machine (POS) 11, a replay accepting machine 12, an issuing machine 20, a data display machine 21, a data publishing machine 22 It manages information from other devices. Based on the communication of information with the management device 13 for each device described above, the management device 13 stores various types of information as will be described later.

  Moreover, the management apparatus 13 can also output information, such as a slump graph, the number of starts, and the number of jackpots, for each gaming machine, to the data display 21 attached to the upper part of each gaming machine. The data display 21 displays this information on the display unit, and provides the player with information on the gaming table.

  Furthermore, the management device 13 can also output information such as a slump graph, the number of start times, the number of jackpots, etc., information about the gaming machine ranking, winning / losing for each gaming machine, etc. to the data publishing machine 22. The data publishing machine 22 displays this information on the display unit, and provides the player with information on the gaming table.

  In addition, the management device 13 measures the effect of each sales measure and shows the effect of each sales measure as a numerical value. For example, the management device 13 quantifies the difference in sales and profit / loss when the sales measure is not performed and when it is performed. Can be output. For example, the management device 13 can also accumulate and analyze information on the effect of each sales measure, and calculate preferable setting conditions for each sales measure.

  As shown in FIG. 13, the management device 13 includes a control unit 200, a member card information management unit 201, a non-member card information management unit 202, an input / output information processing unit 203, and an effect measurement information management unit 204.

  The control means 200 is mainly composed of an arithmetic unit (CPU), a read only memory (ROM), a random access memory (RAM), and a hard disk (HD). In the CPU, the control means 200 is stored in the hard disk (HD), ROM or RAM. Various arithmetic processes are executed using programs and data. In this control means 200, information input / output between each means of the member card information management means 201, non-member card information management means 202, input / output information processing means 203, effect measurement information management means 204, and via the network 8. Control the input and output of information to and from each device. Further, the control unit 200 is connected to the management device 13 via the network 8 so as to be able to communicate with the control unit of each device. Further, the control means 200 controls the input / output of information with the overall management device 25 of the overall information center 24 via the protocol converter 14, the modem 15, and the external network 23.

  Here, the management apparatus 13 can also be constituted by a plurality of computer systems on the same network to which roles are shared. For example, if a plurality of computer systems for card management, customer management, game machine management, data display machine management, and the like are used, each role can be executed at a higher speed.

  The member card information management means 201 manages information when the member IC card 30 is used for each device, and FIG. 15 shows an example of the information management list 250. The information management list 250 shown in FIG. 15 can be viewed on, for example, the personal computer 17 connected to the management apparatus 13.

  When the member IC card 30 is used, based on the ID of the member IC card 30, for example, the number of stored balls, the balance of frequency, the number of stored balls for replay, It manages the points, the amount inserted into the machine or the issuing machine, the settlement amount, and the area number where the member resides. These data are managed for each ID of the member IC card 30 and further managed as history information, daily information, weekly information, and the like. The information management list 250 shown in FIG. 15 is an example of daily information.

  Further, the management items for the member player using the member IC card 30 are not limited to the management items described in the information management list 250 of FIG. (Launching balls), safe (balls supplied to the upper plate of the game, that is, the player's winning balls), winning / losing information (those deducting out from the safe), number of jackpots, CR machine sales, etc., and member games A person's address, name, age, favorite table, contact information, and the like can also be set as management items, and can be set as necessary.

  The non-member card information management means 202 manages information when the non-member IC card 31 is used for each device, and FIG. 16 shows an example of the information management list 251. The information management list 251 shown in FIG. 16 can be viewed on, for example, the personal computer 17 connected to the management apparatus 13.

  When the non-member IC card 31 is used, based on the ID of the non-member IC card 31, for example, in the frequency balance, the intermediary machine or the issuing machine as described in the information management list 251 It manages the amount of money inserted, the amount of payment, and the area number where non-members live. These data are managed for each ID of the non-member IC card 31. Further, when the non-member IC card 31 is used, the period during which the frequency balance can be held is limited to a predetermined period such as one day, and is not shown in the information management list 251. However, the information management list 251 may indicate the number of remaining days in which the frequency balance can be held.

  The information management list 251 shown in FIG. 16 is an example of information in a management period in which the frequency balance can be held. Here, the information of the simple management ID and the number of balls (counted by the counter 9) shown in the information management list 251 is information when a receipt is issued by the counter 9, and has been forged. It is managed temporarily to prevent receipts from being used. Therefore, the information on the simple management ID and the number of balls is deleted from the management device 13 after confirming the appropriateness of the receipt at the time of prize exchange in the prize manager (POS) 11.

  Also, the management items for non-member players using the non-member IC card 31 are not limited to the management items described in the information management list 251 of FIG. 16, and are set as appropriate. be able to.

  The input / output information processing means 203 transmits information to the general information center 24, for example, information such as the daily sales results and the calculation results of the effects of the sales measures, as the member card information management means 201 and the non-member card information management means 202. And management based on information managed by the effect measurement information management means 204. For example, when end-of-day processing information is input from the personal computer 17 or the like to the management apparatus 13, information to be transmitted to the general information center 24 is output to the protocol converter 14 via the control means 200. Information output to the protocol converter 14 is transmitted to the general information center 24 via the modem 15 and the external network 23. The input / output information processing means 203 receives information from the general information center 24 and the like.

  The effect measurement information management means 204 includes information on set sales measures, calculation parameters used when calculating the effect measurement of each sales measure, effect measurement information for each sales measure, information analyzed and tabulated based on the measurement information, etc. Is managing.

  And each means part of the member card information management means 201, the non-member card information management means 202, the input / output information processing means 203, and the effect measurement information management means 204 controlled by the control means 200 operates as follows. (FIG. 14). Here, the management operation of information input to the management apparatus 13 will be mainly described.

  Hereinafter, the operation will be described with reference to FIG.

  Information from the issuing machine 20, the replay accepting machine 12, the inter-machines 3, 4, 6, the counter 9, the gift management machine (POS) 11, the checkout machine 10, etc. is input to the control means 200 of the management device 13. Input to the output information processing means 203 (step S210).

  The control unit 200 determines whether each piece of information of the input / output information processing unit 203 input in step S210 is information when the member IC card 30 is used (step S211).

  If it is determined in step S211 that the information is obtained when the member IC card 30 is used (Yes in step S211), the input information is output to the member card information management unit 201. The membership card information management means 201 manages input information for each ID and item, for example, as shown in FIG. 15 based on the input information (step S212).

  On the other hand, if it is determined in step S211 that the information is not information when the member IC card 30 is used (No in step S211), the input information is output to the non-member card information management unit 202. The Based on the input information, the nonmember card information management means 202 manages input information for each ID and item, for example, as shown in FIG. 16 (step S213).

  Subsequently, the control means 200 is based on the information managed by the member card information management means 201 and the non-member card information management means 202 for each age group, sex, region division, and game machine type. , For example, out (fire balls), safe (supply balls to the upper plate of the game, that is, the player's winning balls), winning / losing information (those less out from the safe), information such as the number of balls lent, deposit amount, etc. Tally. The aggregated information is output to the member card information management means 201, the nonmember card information management means 202, and the input / output information processing means according to the aggregated type (step S214).

  Further, the control means 200 obtains information necessary for the effect measurement calculation from the information collected in step S214 and the information managed by the member card information management means 201 and the non-member card information management means 202. The effect measurement information management means 204 Output to. Further, the control unit 200 outputs the business measure calculation information such as the sales measure name and each calculation parameter input by the personal computer 17 connected to the management apparatus 13 to the effect measurement information management unit 204 (step S215).

  Subsequently, the control unit 200 performs an effect measurement calculation for a set sales measure, which will be described later, based on the sales measure calculation information input to the effect measurement information management unit 204 (step S216).

  Subsequently, the control unit 200 determines the effect on the business measure calculated in step S216, the information input to the effect measurement information management unit 204, the information aggregated in step S214, the member card information management unit 201 and the non-member card. Based on the information managed by the information management means 202, the area number information, etc., an advertising area strategy to be described later is formulated (step S217).

  Further, the control means 200 determines whether or not the end-of-day processing signal is input from the personal computer 17 or the like to the management apparatus 13 based on the information from the input / output information processing means 203 (step S218).

  If it is determined in step S218 that the end-of-day processing signal has not been input (No in step S218), the control unit 200 enters a standby state.

  On the other hand, if it is determined in step S218 that the end-of-day processing signal has been input (Yes in step S218), for example, the member card information management unit 201, the non-member card information management unit, from the input / output information processing unit 203 Based on the information managed by the 202 and the effect measurement information management means 204, each information such as the aggregated daily sales results and the effect measurement results of each sales measure is transmitted via the control means 200 and the external network 23. Is transmitted to the overall management device 25 of the overall information center 24 (step S219).

  Further, the control unit 200 determines whether or not an information transmission request signal is input to the management apparatus 13 from the personal computer 17 or the like based on the information from the input / output information processing unit 203 (step S220).

  If it is determined in step S220 that the information transmission request signal has not been input (No in step S220), the control unit 200 returns and returns to the start.

  On the other hand, if it is determined in step S220 that an information transmission request signal has been input (Yes in step S220), the member card information management unit 201, the non-member card information management unit 202, and the effect measurement information management unit 204 are notified. Based on the managed information, for example, information as shown in FIG. 15 and FIG. 16 is output to the personal computer 17 and displayed on the screen of the personal computer 17 (step S221).

(Effect measurement calculation for sales measures)
Here, the calculation of the effect measurement for the set sales measure performed in step S216 shown in FIG. 14 will be described with reference to FIGS.

  17-19 is a figure which shows the flow of operation | movement in an effect measurement calculation. Here, the operations from step S301 to step S311 are for calculating the effect on the business measure, for example, the effect of the day of the week, the effect due to the time factor such as the bonus time, the tray, and the living, the effect of the weather, etc. When calculating the effect in the business measure, it is exemplified below as one or a plurality of time factors being included in the calculation factor. In addition, as for the timing factor, an example is shown below in which the averaging calculation is performed so that the newly calculated timing factor slows down the influence on the previously calculated timing factor as the elapsed period increases.

  First, the control means 200 determines whether or not the effect measurement on that day has already been completed (step S300).

  If it is determined in step S300 that the effect measurement has already been completed (Yes in step S300), the process proceeds to “2” in FIG.

  If it is determined in step S300 that the effect measurement is not completed (No in step S300), the control unit 200 inputs sales information from the effect measurement information management unit 204 (step S301). Here, the sales are the total amount of money deposited on the same day for each device installed in the game hall, but may be calculated as “sales = number of rented balls × 4 yen”, or the number of rented balls = out. It may be calculated by (number of fired balls) + number of counted balls−safe (number of balls supplied by the game machine). Alternatively, “sales = number of lent balls × 4 yen + replay fee + sales of vending machines such as juice” may be used. Here, in the case of a pachinko ball, sales are calculated as 4 yen per ball.

Subsequently, the control means 200 calculates an average of all sales calculated by weighting each day according to the following equation (1) (step S302).
Today's total sales average = (1-V) x The previous day's total sales average + V x Sales ... Formula (1)

  Here, the average of all sales on the previous day is the average of all sales already calculated on the previous day according to formula (1). Sales are sales actually sold today. V is a weighted average coefficient corresponding to a predetermined period. For example, V = 1 / (the number of business days), or when the predetermined period is one year (365 days), V = 1/365. The weighted average coefficient V can be arbitrarily set. When V = 1 / (business days), V decreases as the number of business days increases.

  Subsequently, in order to obtain a different sales average value for each day of the week, the control means 200 calculates the total sales average value for each day of the week by the following equations (2) to (8). Next, a correction coefficient (K11) is calculated by equation (9) in order to correct the influence of each day of the week for sales today (step S303). Here, K11 is a coefficient to be corrected by multiplying today's sales. For example, on Sunday or the like, since the number of players is increased compared to weekdays, the current sales are corrected less (K11 is a value smaller than 1.0), On Monday, since the number of players is further reduced than other weekdays, the current sales are corrected by a large amount (a value larger than 1.0).

Average of all sales on Sunday = (1-X) x average of all sales on previous Sunday + X x sales ... Formula (2)
Average of all sales on Monday = (1-X) x Average of all sales on previous Monday + X x Sales ... Formula (3)
Average total sales on Tuesday = (1-X) x average total sales on previous Tuesday + X x sales ... Formula (4)
Average sales on Wednesday = (1-X) x Average sales on previous Wednesday + X x Sales (5)
Average total sales on Thursday = (1-X) x Average total sales on previous Thursday + X x Sales ... Formula (6)
Average of all sales on Friday = (1-X) x Average of all sales on last Friday + X x Sales ... Formula (7)
Average of all sales on Saturday = (1-X) x average of all sales on previous Saturday + X x sales ... formula (8)
K11 = Average total sales for today (Formula (1)) / Average total sales for today (Formulas (2) to (8)) Formula (9)
Here, the average of all sales on the previous day of week is the average of all sales already calculated on the previous day of the week using the formulas (2) to (8). Sales are sales actually sold today. X is a weighting coefficient for performing a weighted average corresponding to the number of experience days of each day of the week. For example, X = 1 / (business week number). X may be fixed to “X = 1/100”. The weighted average coefficient X can be set arbitrarily. When “X = 1 / (number of business weeks)”, X decreases as the number of business weeks increases.

  Subsequently, in order to obtain a different sales average for each season, the control means 200 uses the following formulas (10) to (16) to calculate the sales for each season such as winter, summer bonus season, tray, night, New Year, etc. The average value is calculated. Next, a correction coefficient (K12) is calculated by equation (16) in order to correct the influence of each season on the sales today (step S304). Here, K12 is a coefficient to be corrected by multiplying today's sales. For example, in the winter and summer bonus periods, Bon, Live, New Year, etc., the number of players increases compared to normal times, so that today's sales are corrected less. (K12 is a value smaller than 1.0) (step S304).

Average of all sales at normal time = (1−Y1) × Average of all sales at normal time of previous time + Y1 × sales: Formula (10)
Average total sales during the winter bonus = (1-Y2) x average total sales during the previous winter bonus + Y2 x sales formula (11)
Average total sales during this summer bonus = (1-Y3) x average total sales during the previous summer bonus + Y3 x sales ... Formula (12)
Average total sales during the main festival = (1-Y4) x average total sales during the previous festival + Y4 x sales ... formula (13)
Average of total sales at hometown = (1-Y5) x average of total sales at night of previous night + Y5 x sales ... formula (14)
Average of all sales at the New Year = (1-Y6) x Average of all sales at the previous New Year + Y6 x Sales ... Formula (15)
K12 = Today's total sales average (formula (1)) / seasonal average of all sales (formula (10) to formula (15)) (16)
Here, the average of all sales for each previous season is the average of all sales that has already been calculated for each previous season using equations (10) to (15). Sales are sales actually sold today. Y is a weighting coefficient for performing a weighted average corresponding to the number of experience days in each season. For example, when “Y1, Y2,..., Y6 = 1 / (business days)”, the equation (10 ) To Formula (15) are provided with different Y1 to Y6. Alternatively, Y1 to Y6 may be fixed to “Y = 1/100” with only Y as a variable. Thus, the weighted average coefficient Y can be set arbitrarily. When “Y1 to Y6 = 1 / (business days)”, Y1 to Y6 become smaller as the number of business days increases.

  Subsequently, the control means 200 calculates the effect of the weather according to the following equations (17) to (24) in order to calculate the effect due to weather factors such as clear, cloudy, rain, light rain, medium heavy rain, storm, snow, and fog. The average sales for each weather factor calculated by weighting each factor and the correction coefficient (K13) for each weather factor are calculated (step S305).

  Subsequently, in order to obtain a different sales average for each weather, the control means 200 uses the following formulas (17) to (23) to calculate each of the clear, cloudy, rainy, light rain, medium heavy rain, storm, snow, fog, etc. Calculate the average sales value for each weather. Next, a correction coefficient (K13) is calculated by equation (24) in order to correct the influence of each weather on the current sales (step S305). K13 is a coefficient to be corrected by multiplying today's sales. For example, since the number of customers is reduced compared to normal times such as rain, light rain, medium heavy rain, storm, snow, fog, etc. Large value).

Average of all sales at fine weather = (1-Z1) x average of all sales at fine weather + Z x sales ... formula (17)
Average total sales when cloudy = (1-Z2) x average total sales when cloudy before + Z x sales ... Formula (18)
Average total sales during this light rain = (1-Z3) x average total sales during the previous light rain + Z x sales ... formula (19)
Average of all sales during heavy rain = (1-Z4) x Average of all sales during previous heavy rain + Z x Sales ... Formula (20)
Average total sales during the main storm = (1-Z5) x average total sales during the previous storm + Z x sales ... formula (21)
Average total sales during snowfall = (1-Z6) x average total sales during previous snow + Z x sales ... formula (22)
Average total sales during the fog = (1-Z7) x average total sales during the previous fog + Z x sales ... formula (23)
K13 = Today's total sales average / All sales average for each weather factor (24)
Here, the average of all sales for each previous weather is the average of all sales already calculated for each previous weather by the equations (17) to (23). Sales are sales actually sold today. Z is a weighting coefficient for performing a weighted average corresponding to the number of experience days of each weather. For example, when Z1, Z2,..., Z7 = 1 / (business days), equations (17) to (17) Different Z1 to Z7 are provided for each of the equations (23). Further, Z1 to Z7 may be variables of only Z, and may be fixed to “Z = 1/100”. Thus, the weighted average coefficient Z can be arbitrarily set. When Z1 to Z7 = 1 / (business days), Z1 to Z7 become smaller as the number of business days increases.

  If X, Y (Y1 to Y6) and Z (Z1 to Z7) are “1 / (number of business days)”, if the number of business days from the start of business to the present increases, recent changes Becomes difficult to reflect. For example, if the business policy is changed drastically from one year ago and the business results improve, past data will be reflected heavily. In such a case, start calculating X, Y (Y1 to Y6), and Z (Z1 to Z7) when you want to measure whether the results of sales measures that have been conducted one year ago were effective based on the last year. It is possible to redo the calculation of each sales average by setting a day arbitrarily. Moreover, you may set to the fixed value by the ratio of each adaptive days of X, Y (Y1-Y6), and Z (Z1-Z7).

  Subsequently, the control means 200 calculates the gross profit per day by the following equation (25) and the daily profit / loss by the following equation (26) using the sales described above (step S306). Further, using the correction coefficient (K11) for each day of the week, the correction coefficient (K12) for each season, and the correction coefficient (K13) for each weather calculated by the above-described formulas, Calculate the corrected sales taking into account seasonal corrections and weather corrections. In addition, with respect to the total amount of premium costs paid out every day, the payout premium cost average value is calculated by the equation (28).

Here, the payout premium cost is the sum of the costs of special prizes and general prizes exchanged for game media such as pachinko balls and medals. The paid-out premium cost on the previous day is the average paid-out premium cost already calculated on the previous day according to the equation (28). Also, today's paid out premium cost is the total amount of premium cost actually paid out today. V is a weighted average coefficient corresponding to the predetermined period used in the equation (1), and may be, for example, V = 1 / (business days), or the predetermined period may be one year (365 days). ), V = 1/365. The weighted average coefficient V can be arbitrarily set. When V = 1 / (business days), V decreases as the number of business days increases.
Further, using this adjusted sales, the daily adjusted gross profit is calculated by the following equation (29), and the daily adjusted profit / loss is calculated by the following equation (30) (step S306).

Gross profit per day = Sales-Premium cost paid out + Replay fee ... Formula (25)
Daily profit / loss = Gross profit per day-Various expenses (26)
Corrected sales per day = sales x K11 x K12 x K13 (27)
Average cost of paid premiums = (1-V) x Average cost of paid premiums for the previous day + V x Cost of paid premiums for today ... Equation (28)
Adjusted gross profit per day = Adjusted sales per day-Average cost of paid premiums + Replay fee ... Equation (29)
Adjusted profit / loss per day = Adjusted gross profit per day-Various expenses per day: Equation (30)
Here, the replay fee is obtained by multiplying the number of pachinko balls or medals replayed per day by a predetermined fee. In calculating the corrected sales per day, it is preferable to use all of the correction coefficients “K11”, “K12”, and “K13”, but one or a plurality of correction coefficients may be used in combination.

  Subsequently, the control means 200 calculates the average of 5 days, the average of 25 days, the average of 5 weeks, the average of 13 weeks, the average of 25 weeks, the average of 25 years in the calculated daily sales and the daily corrected sales. The average sales such as the average for two years, the average for three years, etc. are calculated, and the information is output to the effect measurement information management means 204, and the effect measurement information management means 204 stores and manages the information (step) S307).

  In addition, the control means 200 may calculate the average daily profit and loss and the daily adjusted profit / loss for the above five days, average for 25 days, average for five weeks, average for 13 weeks, average for 25 weeks, average for one year, The average sales such as the average for two years and the average for three years are calculated, and the information is output to the effect measurement information management means 204. The effect measurement information management means 204 stores and manages the information (step S308). ).

  In addition, the averaged period is not limited to the above-described predetermined period, and the control unit 200 inputs, for example, the first and last days of the average calculation period input by the personal computer 17 connected to the management apparatus 13 (step S309), it is possible to calculate the average of sales and the average of profits and losses in that period (step S310). Further, it is possible to calculate an average of corrected sales, an average of adjusted profit / loss, etc. during the period (step S311).

  Subsequently, the control unit 200 outputs the input business measure information for the information of the input / output information processing unit 203 to the effect measurement information management unit 204 (step S312).

  The sales policy information includes the sales policy name, multiple sales policy genres, sales policy managers, the contribution rate of each sales manager when there are multiple sales policy managers, the sales policy implementation period, Information such as various expenses is included, but is not limited to this, and is included in information necessary as business measure information. Here, a plurality of sales measure genres are registered, for example, when a game hall belongs to a genre arbitrarily determined, and a clerk freely defines the genre for each genre and defines the genre. For example, the current nail opening is a nail adjustment genre, a newly opened store genre, and a genre with a nail opening width of 0.75 mm among the nail adjustment genres. As will be described in detail later, in the case of a sales measure (for example, a newly opened store) that calculates the average value of the effect for each genre and simultaneously launches multiple sales measures, the average value of the effect for each sales measure is calculated. You may subtract from.

The following (A1) to (A10) may be set in advance as the sales measure genre as the sales measure genre, and the sales measure can be selected from these.
In addition to sales policy genres, factors related to sales and profit / loss on a daily basis include fixed costs and location conditions that are usually incurred when no sales policies are implemented as examples of factors that constitute sales and profit / loss at normal times. To do. It is assumed that elements that constitute sales and profits and losses at normal times such as fixed costs and location conditions that are incurred even when no business measures are taken.

  (A1) The change in the payout rate by adjusting the nails of the pachinko machine and the change in the purchase price of special prizes are used as business policy genres and are exemplified as one effect factor on sales and profit / loss.

  By measuring the effect of this sales measure genre, it is possible to examine, for example, how much the nail adjustment is opened and closed at any cycle to obtain the highest effect (profit efficiency, sales change, profit change, etc.) . Similarly, for example, it is possible to examine which setting provides the highest effect with respect to the special premium purchase price setting. For example, for a combination of a plurality of nail adjustments performed based on a certain business idea, the effect may be measured for each of a plurality of special premium purchase price settings. Here, for example, on Saturday and Sunday, one out of four pachinko machines is closed to a predetermined width and returned to Monday. On Thursday and Friday, Saturday and Sunday As a priming water, one out of three pachinko machines includes spreading a nail to a predetermined width in one week. Another business philosophy is to close the nails if there is a pachinko machine with a high base, and widen the nails if there is a pachinko machine with a low base, so that the base is always set to 25 in common. .

  Here, the base is a safe that is returned to the player side for several hundred outs (launched balls) per minute (supply balls to the gaming machine, that is, supply balls to the game upper plate: the player's The number of balls acquired). For example, adjust the nail width of the pachinko machine so that the base will be 42 for 4 yen purchase of 4 balls and 19 for 4 yen purchase (equivalent exchange). An index is provided for each model. Here, the daily sales in this business measure genre will be referred to as the “Hijitama Policy Change Sales”, and the daily profit / loss will be referred to as the “Hijitama Policy Change Profit / Loss”.

  (A2) A change in the slot medal rate (setting) of a slot machine and a change in the purchase price of a special prize are taken as sales measures and are exemplified as one effect factor on sales and profit / loss.

  By measuring the effect of this sales measure genre, the highest effect (profit efficiency, change in sales, change in profit, etc.) can be obtained, for example, by changing the “setting” that determines the medal rate of slot machines and at what period. Can be considered. Similarly, for example, it is examined which setting has the highest effect for the special premium purchase price setting. For example, for a combination of a plurality of “settings” performed based on a certain business idea, the effect may be measured for each of a plurality of special premium purchase price settings. Here, as one of the business ideas, for example, on the 20th to 25th before the salary day, only the slot machine with the setting “2” or “4” is set, and on the other days, the setting “1” or “3” is set. It is also included that only the platform is used.

  Here, “setting” is the ratio of OUT (number of medals paid out to the player) returned to the player side with respect to a predetermined in (number of inserted medals), and setting 6 (the player is most advantageous) It can be set in 6 levels from setting 120 (medal rate of about 120%) to setting 1 (setting with the most disadvantage for the player, rate of medal about 90%). Clarify whether these sales measures have resulted in a deficit or a surplus in the overall medal return policy. Here, the daily sales in this sales measure genre will be referred to as “Hide Medal Policy Change Sales”, and the daily profit / loss will be referred to as “Hide Medal Policy Change Profit / Loss”.

  (A3) The change of the point grant amount is set as a sales measure genre, and is exemplified as one effect factor for sales and profit / loss.

By establishing this sales policy genre, the effect of point grant (profit efficiency, sales change, profit change, etc.) is clarified.
Here, the daily sales in this business measure genre will be referred to as day point effect sales, and the daily profit / loss will be referred to as day point effect profit / loss.

  (A4) Introducing new equipment as a sales policy genre and exemplified as an effect factor of sales and profit / loss.

  By establishing this sales policy genre, the effects (profit efficiency, sales changes, profit changes, etc.) of new equipment such as gaming machines, pedestrian machines, card systems, premium management machines (POS) are clearly defined To do. Here, the daily sales in this business measure genre will be referred to as daily new equipment introduction sales, and the daily profit / loss will be referred to as daily new equipment introduction profit / loss.

  (A5) The distribution of advertisement is a sales policy genre, and is exemplified as one effect factor on sales and profit / loss.

  By establishing this sales policy genre, the effect of distribution of new advertisements (profit efficiency, sales change, profit change, etc.) will be clarified. Here, the daily sales in this business measure genre will be referred to as daily new advertising effect sales, and the daily profit / loss will be referred to as daily new advertising effect profit / loss.

  (A6) The new hire or dismissal of the store clerk is a sales measure genre, and is exemplified as one effect factor on sales and profit / loss.

  By establishing this sales measure genre, the effect (profit efficiency, sales change, profit change, etc.) of newly hiring or dismissing a clerk is clarified. Here, the daily sales in this business measure genre will be referred to as the daily new employment dismissal effect sales, and the daily profit / loss will be referred to as the daily new employment dismissal effect profit / loss.

  (A7) The education for the store clerk is a sales measure genre, and is exemplified as one effect factor for sales and profit / loss.

  By establishing this sales policy genre, the effect of the education given to the store clerk (profit efficiency, change in sales, change in profit, etc.) will be clarified. Here, the daily sales in this sales measure genre will be referred to as day education effect sales, and the daily profit / loss will be referred to as day education effect profit / loss.

  (A8) The sales method change is set as a sales measure genre, and it is exemplified as one effect factor for sales and profit / loss.

  As a sales method, for example, a case where a one-time replacement system is changed to an unlimited system can be cited. In this case, although the sales and profit per player decrease, the operation of the gaming machine increases. By establishing this sales measure, the effect (profit efficiency, sales change, profit change, etc.) will be clarified. Here, the daily sales in this business measure genre will be referred to as daily sales system change effect sales, and the daily profit / loss will be referred to as daily business system change effect profits / losses.

  (A9) Events such as newly opened or newly opened game halls of other companies are used as sales policy genres, and are exemplified as one effect factor on sales and profits.

  By establishing this sales policy genre, the negative effects (profit efficiency, sales changes, profit changes, etc.) of the impact of events conducted by other companies will be clarified. Here, depending on the sales measure genre, the daily sales in this sales measure genre will be referred to as sales at the time of the event of the other company's event, and the daily profit / loss will be referred to as the profit / loss at the time of the event of the other company.

  (A10) The change of the replay fee is set as a sales measure genre, and is exemplified as one effect factor on sales and profit / loss.

  Lowering the replay fee will reduce sales by the replay fee, but will increase the operating rate of the gaming machine. By establishing this sales policy genre, the effects (profit efficiency, sales change, profit change, etc.) of changing the replay fee will be clarified. Here, the daily sales in this business measure genre will be referred to as replay fee change sales, and the daily profit / loss will be referred to as daily replay fee change profit / loss.

  In addition to the sales measures (A1) to (A10) described above, for example, sales of wagons such as juices and lunch boxes, thorough cleaning of toilets, rearrangement of game machines, etc. as optional sales measures genres. Illustrated as one effect factor on profit and loss (A11). By establishing and registering these arbitrary sales measure genres, the effect (profit efficiency, change in sales, change in profit and loss, etc.) of the arbitrary sales measure genre is clarified. Here, the daily sales in this business measure will be referred to as daily voluntary measure sales, and the daily profit / loss will be referred to as daily voluntary measure profit / loss.

  Furthermore, sales and profit / loss may be influenced by unexpected and unknown factors, not by the above-mentioned sales policy genres (A1) to (A11) and arbitrary sales policy genres. This unknown factor is set as a sales policy genre, and is exemplified as one effect factor on sales and profits (A12). By establishing this unknown factor sales measure genre, the effect (profit efficiency, change in sales, change in profit and loss, etc.) due to this unknown factor is clarified. Here, the daily sales due to this unknown factor will be referred to as day unknown factor sales, and the daily profit / loss will be referred to as day unknown factor gains / losses.

  Here, the preset sales policy genres (A1) to (A10) are not limited to these items, and can be arbitrarily set in (A11) and (A12).

  When the business measure information is output to the effect measurement information management unit 204 (step S312), the control unit 200 next calculates each average calculated in step S307 for the corrected sales calculated in step S306 as shown in FIG. Compare values. For example, the average for 5 days is compared with the average for 25 days, and it is determined whether or not the absolute value of the difference between the average values is greater than a predetermined value (step S313). Here, the predetermined value means, for example, a case where the absolute value of the difference between the average values is 3% or more from either one of the average values, but this limit should be set appropriately. Can do. In addition, although the case where the average for 5 days and the average for 25 days were compared was shown here, this comparison combined each of the average value and instantaneous value which were calculated by step S306, respectively, step S319 explained in full detail later All combinations are performed by the operation of step S320. This is because, by implementing a certain sales measure, it is possible to pick up from a sales measure whose effect appears to be a slow effect to a sales measure whose effect appears immediately. The slow-acting sales measures take time until the effect appears, and the effect is continuous, so the long-term averages are compared. On the other hand, quick-action business measures have a short time until the effect appears, and are easy to end in a short period of time.

  When it is determined in step S313 that the absolute value of the difference between the average values is larger than the predetermined value (Yes in step S313), the control unit 200 changes based on the information of the effect measurement information management unit 204. It is determined whether the factor has been set, that is, whether the name of the sales measure has been input (step S314).

  If it is determined in step S314 that no variation factor is set (No in step S314), the control unit 200 determines the game machine win / loss information, total deposit information, and each member level (for example, every predetermined period). The information whose value fluctuates is output to the input / output information processing means 203 together with the variation data of each game information such as the number of players for each level) (step S315).

  Further, in this case, a temporary name is given to the name of the sales measure. As the sales measure, the temporary name or the above-mentioned variation data is used as the effect measure information as the sales measure information in step S312. The result is output to the management unit 204 and stored in the effect measurement information management unit 204 (step S316). Note that the name of the provisional business measure given can be changed by the personal computer 17 connected to the management device 13 or the like, and the user is prompted to input the real name of the business measure as appropriate at the start or end of work.

  Further, the store clerk can view the information output to the input / output information processing means 203 in step S315 by outputting it to the personal computer 17 connected to the management apparatus 13, and based on these information, the average value It can be considered that the absolute value of the difference between the two becomes larger than a predetermined value.

  On the other hand, if it is determined in step S314 that the variation factor is set (Yes in step S314), the process proceeds to step S319.

  If it is determined in step S313 that the absolute value of the difference between the average values is equal to or smaller than a predetermined value (No in step S313), the control means 200 subsequently calculates the adjusted profit / loss calculated in step S308. As in step S313, the averages of 5 days and 25 days, and the operations of steps S319 and S320, which will be described in detail later, are used to compare the averages and instantaneous values of other predetermined periods for all combinations. Then, it is determined whether or not the absolute value of the difference between the average values is larger than a predetermined value (step S317). Here, the predetermined value means, for example, a case where the absolute value of the difference between the average values is 3% or more from either one of the average values, but this limit should be set appropriately. Can do.

  If it is determined in step S317 that the absolute value of the difference between the average values is larger than the predetermined value (Yes in step S317), the process proceeds to step S314 described above.

  When it is determined in step S317 that the absolute value of the difference between the average values is equal to or smaller than a predetermined value (No in step S317), the control unit 200 uses the effect measurement information management unit 204 as other information. Based on the information and the information of the member card information management means 201, for example, the number of members for each member level (for example, the level stratified by the investment amount for each predetermined period), winning / losing information, deposit information, store visit number information, For the stored ball number information, out number information, replay stored ball number information, etc., the average value is calculated as calculated in steps S307 and 308, and the calculated average value and instantaneous value are the same as in steps S313 and S317. By comparison, it can be determined whether or not the absolute value of the difference between the average values is greater than a predetermined value (step S318). The other information is not limited to the information about the member player, but the information about the non-member player is averaged as calculated in steps S307 and 308 for each item as in the case of the member player. A value may be calculated, and the calculated average values may be compared. In addition, as other information, operation information of surrounding stores can be adopted. These other information can be arbitrarily set, and other information can also be set. Here, the predetermined value means, for example, a case where the absolute value of the difference between the average values is 3% or more from either one of the average values, but this limit should be set appropriately. Can do.

  If it is determined in step S318 that the absolute value of the difference between the average values is larger than the predetermined value (Yes in step S318), the process proceeds to step S314 described above.

  On the other hand, if it is determined in step S318 that the absolute value of the difference between the average values is equal to or smaller than the predetermined value (No in step S318), the control unit 200 compares and confirms the value fluctuation in all the information to be confirmed. It is determined whether or not the process has ended (step S319).

  If it is determined in step S319 that the comparison check has not been completed for the value fluctuations in all the information to be confirmed (No in step S319), the control unit 200 adjusts the corrected sales average to be compared and the adjusted profit / loss. The average and the average of other information are specified (step S320), and the process proceeds to step S313.

  If it is determined in step S319 that the comparison check has been completed for the change in value in all information to be confirmed (Yes in step S319), the control unit 200 then sets a new business measure. It is determined whether it has been performed (step S321).

  In this embodiment, the operation in steps S321 to S326 will be described as a first example of effect measurement, and the operation of step S327 will be described as a second example and a third example of effect measurement.

  If it is determined in step S321 that a new sales measure has not been set (No in step S321), the process proceeds to step S327.

  When it is determined in step S321 that a new sales measure has been set (Yes in step S321), the control unit 200 determines whether the sales measure has ended (step S322). Here, the end of the sales measure is determined based on the date when the date for applying the sales measure is set when the sales measure is set, for example. In addition, for example, in the case of adjusted profit / loss, adjusted sales, and other information, the amount of change is the same as in steps S313, S317, and S318, and the difference between all average values and instantaneous values, or Yes in steps S313, S317, and S318. For example, when the difference between all the average values resulting from the determination of Yes is 2% or less, it may be determined that the business measure has ended. In the determination of step S313, step S317, and step S318, the difference between the average values to be compared is set to 3% or more, and in the determination of step S322, the difference is set to 2% or less in steps S313, S317, This is to prevent erroneous determination due to chattering based on a minute change in data that becomes No again immediately after determining Yes in step S318 and becomes Yes immediately after that.

  If it is determined in step S322 that the sales measure has been completed (Yes in step S322), the process proceeds to step S327.

When it is determined in step S322 that the sales measure has not ended (No in step S322), the control unit 200 determines the current period of the predetermined period in which the sales measure has been applied according to the following equation (31). The sales integrated value by the business measure is calculated (step S323).
Cumulative value of sales by sales policy up to today = Total value of sales by sales policy until the previous day + (corrected sales-average of corrected sales) Formula (31)

Expression (31) is the effect of the sales measure by subtracting the “average of corrected sales” that is the result of the normal sales from the “corrected sales” of today that is the result of the sales measure. Here, the corrected sales is a value of the corrected sales per day calculated by the equation (27), and the average of the corrected sales is a value calculated by the equation (32).
Average corrected sales up to today = (1-V) x average corrected sales up to the previous day + V x adjusted sales (32)
Here, V is the same as that shown in equation (1), and is a weighted average coefficient corresponding to a predetermined period.

Further, the control means 200 calculates the sales based on the sales policy per day for the predetermined period when the sales policy is applied (step S324).
Sales by sales policy per day = Sales integrated value by sales policy to date / Number of days in sales policy period (33)

Furthermore, the control means 200 calculates the profit and loss integrated value up to today by the business measure for the predetermined period in which the business measure has been applied by the following equation (34) (step S325).
Profit / loss integrated value by business measure up to today = Profit / loss integrated value by business policy until the previous day + (Adjusted profit / loss-Average of adjusted profit / loss) ... Formula (34)

The formula (34) is the effect of the business measure by subtracting the “average of adjusted gain / loss” that is the result of normal business from the “corrected gain / loss” of today that is the result of the business measure. Here, the adjusted profit / loss is the value of the daily adjusted profit / loss calculated by the equation (30), and the average adjusted profit / loss is the value calculated by the equation (35).
Adjusted average profit / loss up to today = (1-V) x Adjusted average profit / loss up to the previous day + V x Adjusted sales (35)
Here, V is the same as that shown in equation (1), and is a weighted average coefficient corresponding to a predetermined period.

Further, the control means 200 calculates the profit / loss due to the business measure per day for the predetermined period in which the business measure has been applied by the following equation (36) (step S326).
Profit / Loss from Sales Measures per Day = Accumulated Profit / Loss from Sales Measures Up to Today / Number of Days of Sales Measures Period (36)

  Here, the operations from step S321 to step S326 described above directly measure the effect of the business measure based on fluctuations in values such as adjusted sales and adjusted profit / loss, that is, game information or game information. As the values of the internal data calculated by the equation (32) and the equation (35), the corrected sales average and the adjusted profit / loss average are calculated, respectively, and based on these average values, the effect when the business measure is applied is expressed by the equation (31). ) And Expression (33), and Expression (34) and Expression (37), respectively, calculate the sales integrated value by sales policy and sales by daily sales policy, and the profit and loss integrated value by sales policy and daily profit by operating policy. .

  If sales policy information is input in step S312, and a plurality of sales policies are set at the same time, in the above-described method for measuring the effectiveness of sales policies, a plurality of sales policies are combined into one sales policy. As measured together.

  In addition, in the above-described calculation operation for effect measurement, the calculation operation for effect measurement can be configured without performing the setting operation for sales policy information or the like. In this case, when a change in the value based on the information such as the above-described corrected sales and adjusted profit / loss is detected (Yes in Step S313, Step S317, and Step S318, respectively), the adjusted sales and the adjusted profit / loss are changed. It is determined that some factor contributes, and the information whose value fluctuates is stored in the effect measurement information management unit 204, and the member card information management unit 201, the non-member card information management unit 202, and the effect measurement information management unit 204 are stored. The factor of the fluctuation of the value can be searched from the information such as (step S316).

  Factors that cause the value fluctuation in this case include, for example, a change in the base setting for the entire game hall or each gaming machine, a change in the slot setting in the slot machine, or a change in the number of player players. However, it is not limited to these. In addition, events at surrounding competitors may be included in the factors of the change.

  Next, step S327 is performed. Step S327 is performed once at the end of work.

  Here, first, a second example of effect measurement in the operation of step S327 will be described.

  By substituting the daily adjusted sales calculated by formula (27) and the daily adjusted profit / loss calculated by formula (30) into the simultaneous equations consisting of the following formulas (36) and (37), the cost of each sales measure A method of calculating the investment efficiency Wi of Xi and each sales measure will be described.

Adjusted sales per day = Σ (Xi x Wi) (36)
Adjusted profit / loss per day = Σ (Xi × Wi−Xi) (37)
Here, “i” is one or a plurality of number sets that can be classified for each sales measure. As an example, registration is made in a total of 13 groups of A0 to A12 so as to be groupable (step S312). Specifically, for example, “i” is [G] [N] [D], and X [G] [N] [D] and W [G] [N] [D] are C language arrays. . G represents a numerical value that can be classified into genres A0 to A12, N is a serial number that is incremented by +1 every time a sales measure for the same genre (G is the same) is made, and D is the same sales measure (G , N are the same) and represent the first day and the second day, and are stored separately in RAM and HD at individual addresses indicated by [G], [N], and [D]. In addition to the [A] to A12 genres of [G], the parent genre, child genre, grandchild genre, etc. of [G1], [G2], and [G3] such as [G1] [G2] [G3]. If necessary, it may be set and registered. By doing in this way, it can also classify by [G1], [G2], and [G3] for every advertising amount, advertising area, advertising contents, etc. among advertising genres, for example. When dividing by [G1] [G2] [G3], an average value of the effect is calculated for each genre to be classified, and the average value of the calculated effect is, for example, a plurality of values that are simultaneously implemented at the time of opening a new store. It may be subtracted from the effect of sales measures.

  In addition, “i” can be classified into sales measures, and other programs that can be classified into sales measure genre category and date category include C structure members and three-digit 50-digit numbers for each digit. Many specifications can be applied. Xi means an investment cost for each business measure per day, and Wi means a profit efficiency for generating the daily cost. If this profit efficiency is greater than 1, it indicates that the business measure is beneficial. Further, when the profit efficiency is smaller than 1, it indicates that the business measure is not profitable (loss), and when the profit efficiency is 1, the break-even point is obtained.

  Since the daily adjusted sales and the daily adjusted profit / loss can be calculated by the equations (27) and (30), respectively, and are known information that is aggregated in the management device 13, the equations (36) and (37) ) To calculate “Xi” and “Wi” (step S327).

  It should be noted that when solving the formula (36) and the formula (37), “Xi” and “Wi” for the sales measure are calculated by calculating the formula (36) and the formula (37) for each sales measure. Even if there are a plurality of “Xi” and “Wi”, it is possible to calculate “Xi” and “Wi”. At this time, at least one of “Xi” and “Wi” or “Xi × Wi” in other sales measures is solved as “0”. For example, even if “Xi” and “Wi” for a sales measure are configured in a plurality (for example, i is 1, 2, 3 and a formula is configured for three sales measures), actually “i = 1” “X1” and “W1” are calculated by setting “X2”, “W2”, “X3”, and “W3” to “0” using the information only when the sales measure corresponding to is applied. Next, using information only when a business measure corresponding to “i = 2” is applied, “X1”, “W1”, “X3”, “W3” are set to “0”, and “X2” and “ W2 "is calculated. Furthermore, “X1”, “W1”, “X2”, “W2” are set to “0” using information only when a sales measure corresponding to “i = 3” is applied, and “X3” and “W3” Is calculated. By solving in this way, it is possible to calculate “Xi from simultaneous equations” and “Wi from simultaneous equations” (step S327).

  Further, the investment cost “Xi” for each sales measure per day is calculated from the input investment cost and the formula (27) by inputting the actual investment cost for the sales measure in step S312. By substituting the daily corrected sales into the equation (36), “sales for sales” can be calculated. Furthermore, the daily profit / loss calculated from the equation (30) can be substituted into the equation (37) to calculate “Wi for profit / loss”.

  Here, as described above, “Wi from simultaneous equations”, “Xi from simultaneous equations”, “Wi for sales”, which are calculated by solving simultaneous equations of Equations (36) and (37), “Profit and loss Wi” and “input Xi” are output to the effect measurement information management unit 204 for each sales measure, and the information is managed by the effect measurement information management unit 204 (step S328). Further, “Wi from simultaneous equations”, “Xi from simultaneous equations”, “Wi for sales”, “Wi for profit / loss”, and “input Xi” may be displayed in a list so that they can be compared, for example.

  Moreover, “Xi from simultaneous equations” can be said to be a theoretical investment cost, and it may be reduced depending on the location and environmental conditions. In addition, “Wi from simultaneous system” can be said to be profit efficiency based on the theoretical investment cost, for example, even if the advertising cost is 1 million yen, if the adjacent store distributes the same advertisement at the same time, Investment costs are nullified.

  On the other hand, “Sales Wi” and “Profit and Loss Wi” are profit efficiency at the actual cost “Input Xi”. When “Wi for sales” and “Wi for profit / loss” are different from “Wi from simultaneous”, or when “Xi from simultaneous” and “input Xi” are different, for example The cause can also be investigated as an influence.

  In the case of obtaining “Wi for sales” and “Wi for profit / loss” based on “input Xi”, the sales measure is included in the sales measure genre shown in (A4), (A5), and (A7), for example. When such a prepaid investment expense is required, or when this expense is clear in that period, the prepaid investment expense is divided by the number of days of the business measure period (input in step S312), and the prepaid investment expense per day is set as “Xi”. If the sales policy period is not entered, prepaid investment expenses are divided by the average sales policy period of the corresponding sales policy genre, and the prepaid investment per day based on the true sales policy period at the end of the sales policy period Expense may be “Xi”.

  In addition, if the daily investment expenses such as those included in the sales policy genre shown in (A1) and (A2) are clear, for example, the daily expenses such as the paid-out premiums for that day are automatically calculated. "Xi", it is not necessary to input in step S312.

  Furthermore, even if the investment measures are known after executing the sales measures such as those included in the sales measure genre shown in (A3), (A6), (A9), (A10), or even after the sales measures are executed When the investment cost cannot be clearly grasped, the average value of the prepaid investment cost per day in the corresponding sales measure genre may be “Xi”, or an arbitrary value may be input.

  As described above, since “Xi from simultaneous equations” and “Wi from simultaneous equations” can be calculated, if “Xi” is unclear, “input Xi” is always substituted and “sales It is not necessary to obtain “Wi for use” and “Wi for profit and loss”.

  In addition, when one business measure is made over multiple business days, “Xi from simultaneous type”, “Xi input”, “Wi from simultaneous type”, “Wi for sales”, “Wi for profit / loss” Since this is a value for each different day, in step S330, which will be described in detail later, “Xi from simultaneous equations” “Input Xi” “Wi from simultaneous equations” “Wi for sales” “For profit / loss” in the corresponding period of one sales measure Wi "will be calculated.

  Further, the expression (36) can be expressed as “today's total sales average” calculated by the expression (1), “normal sales average” calculated by the expression (10), or “W0 × X0” in the already calculated (A0). ”Is shown, but if“ Σ (Xi × Wi) ”does not include these elements, it simply indicates the amount of change in“ adjusted sales per day ”. Sales can be obtained by the following equation (36-1). “Normal sales” includes “today's total sales average” calculated by the above formula (1), “normal sales average” calculated by the formula (10), or already calculated (A0). “W0 × X0” is substituted.

The formula (37) includes the average value of “adjusted daily profit or loss” calculated by the formula (30) or “(ordinary sales) —average cost of paid premiums + replay fees—various expenses per day”. If the daily adjusted profit / loss is shown, but “Σ (Xi × Wi−Xi)” does not include these elements, it simply indicates the change in “adjusted daily profit / loss”. The following equation (37-1) can be used. “Normal profit / loss” is the average value of “Adjusted profit / loss per day” calculated by the above formula (30) or “(Normal sales)-Average cost of paid premiums + Replay fee-Various expenses per day" Is substituted.
Adjusted sales per day = Σ (Xi × Wi) + “normal sales” (formula 36-1)
Adjusted profit / loss per day = Σ (Xi × Wi−Xi) + “Profit / Loss at Normal Time” Equation (37-1)

  Further, in one business measure, for example, by changing the condition, “Xi” and “Wi” can be calculated corresponding to the changed condition. For example, if the change in point grant amount in (5) is set as a sales measure, the business measure will be implemented on different days for the three conditions of point grant amount (for example, 5 points, 10 points, and 15 points) Then, “Xi” and “Wi” can be calculated for each condition. In this manner, one sales measure can have a plurality of pieces of information “Xi” and “Wi”.

  In addition, by having a plurality of pieces of information “Xi” and “Wi” in one sales measure as described above, it is possible to examine an optimum condition for applying the sales measure. In addition, even when a plurality of sales measures are performed simultaneously, since each sales measure has a plurality of pieces of information “Xi” and “Wi”, the values of “Xi” and “Wi” that match the respective conditions are set. By using it, it is possible to accurately measure the effect by weighting each sales measure.

  The control unit 200 outputs the calculated values of “Xi” and “Wi” to the effect measurement information management unit 204, and the effect measurement information management unit 204 stores the information for each sales measure.

  Next, a third embodiment of effect measurement in step S327 will be described.

  Based on the adjusted sales and the adjusted profit / loss for the specified period, solve the simultaneous multi-function polynomial equation by the neural network, and the investment cost “Xi” of each business measure and the investment efficiency “Wi” of each business measure A method for calculating the value will be described.

This simultaneous equation is expressed by the following equations (38) and (39).
Corrected sales for a predetermined period = Σ∫Fi (t, Xi, Wi) Equation (38)
Adjusted profit / loss for a predetermined period = Σ∫Gi (t, Xi, Wi) (39)
Here, i, Xi, Wi, “normal sales”, and “normal profit / loss” are the same as those in the expressions (36-1) and (37-1) described above. Moreover, t shows the time per day when a sales measure is applied. For example, when a sales measure is taken from opening to closing (when business hours are 13 hours), “t = 0 to 13”, and Fi (t, Xi, Wi) and Gi (t, Xi, Wi) The integral value between “t = 0 to 13” is obtained. Since the solution method in the neural network is conventionally known, the description thereof is omitted.

  The adjusted sales for the specified period and the adjusted profit / loss for the specified period are the integrated value of “adjusted sales per day” calculated by the formula (27) for each specified period, and the “adjusted profit / loss for the day” calculated by the formula (30). Is an integrated value of. For the predetermined period, it is detected that the business measure for each sales measure input in step S312 is applied, or that the business measure is finished in step S322 after it is determined Yes in step S313, step S317, and step S318. It may be a period until it is done, or may be every predetermined period such as one year, six months, three months, etc. for each company closing date, and is arbitrarily designated.

  Fi (t, Xi, Wi) is a function related to sales that changes according to time (t), and is an arbitrary sales approximation formula that is automatically set to minimize the error based on the actual sales value. It is a term that exists and exists for each business measure made during a predetermined period. Note that “F0 (t, X0, W0)” indicating the normal sales is calculated as “X0 × W0 × t” as one term. As described above, “、 Fi (t, Xi, Wi)” is an integrated value obtained by integrating the sales approximation formula derived from each sales measure with, for example, the time when the sales measure is applied on one day. “Σ∫Fi (t, Xi, Wi)” is a total integrated value obtained by integrating the sales approximate expression by the time when the sales measure is applied on the day, over the predetermined period when the sales measure is applied. is there.

  Similarly, Gi (t, Xi, Wi) is a function related to profit / loss that changes according to time (t), and is an arbitrary profit / loss that is automatically set to minimize the error based on the actual profit / loss. It is a term that is represented by an approximate expression and exists for each business measure made during a predetermined period. Note that “G0 (t, X0, W0)” indicating normal sales is calculated as “(X0 × W0−X0) × t” as one term. As described above, “ｔGi (t, Xi, Wi)” is an integrated value obtained by integrating the profit and loss approximate expression resulting from each business measure with, for example, the time when the business measure is applied on one day. “Σ∫Gi (t, Xi, Wi)” is a total integrated value obtained by integrating the profit and loss approximate expression by the time when the business measure is applied in one day and integrated over the predetermined period when the business measure is applied. Yes (step S327).

  In addition, by incorporating the time element as shown in Equation (38) and Equation (39), each sales measure is implemented and the change time constant of each effect (change in sales, change in profit and loss, profit efficiency) is clarified. As a result, it is easier to estimate unknown sales measures by classifying each sales measure into variable time constants that are divided into stages, or enumerating the unknown sales measures that have similar time constants.

  Here, incorporating the time element in the formulas (38) and (39) means that, for example, regarding sales, those having a differential component that overshoots until the sales fluctuation stabilizes after the implementation of the sales measure, Then, it can be classified into those having an integral component that is gradually stabilized. Then, a new term and its coefficient are automatically generated in order to minimize the error so that it becomes the corrected sales of the measured value and the corrected profit / loss by the neural network in the form of the equation consisting of the terms of the nth derivative and mth integral. Matched.

  It is possible to judge and display the type of business measure according to the form of the term included in the matched equation. Further, even if a plurality of sales measures are performed at the same time, the effects can be calculated separately depending on how each of the plurality of sales measures implemented at the same time varies. In other words, for example, in the case of a newly opened store, even if sales strategies for (A1) pachinko machine nails, (A4) new pachinko machines that are new equipment introductions, and (A5) advertisements are taken simultaneously. , Each effect can be calculated separately.

  The effect of opening the pachinko nails in (A1) is stable in about three months because the player who gained the first game will repeatedly visit the store and the first game will be collected. In addition, (A4) the effect of the introduction of the new pachinko machine is that the game in the pachinko machine is stable for about one month until the players in the game hall experience in order (in the case of an interesting pachinko machine) The operation is stable at a high level, and in the case of a boring pachinko machine, the operation is stable at a low level). Furthermore, the effect on the advertisement of (A5) is often forgotten in about the first three days, and stabilizes in about three days. Thus, the period during which the effect fluctuates varies depending on the business measure to be held. In other words, if the effect is calculated for each term for each of the clearly different variable components in the equations matched by the neural network, the effect for each sales measure can be calculated.

  Next, “Xi” and “Wi” calculated in step S327 will be described for each sales measure genre. Note that “i” is as described above, but “Xi” and “Wi” are sales policy genres (A0), ( Corresponding to A1), (A2), (A3),..., (A12), X0, X1, X2, X3,..., X12 and W0, W1, W2, W3,. It shall be described.

  (A0) Daily fixed cost sales and fixed costs for daily fixed costs due to fixed costs and location conditions, etc. that are usually incurred even when no sales measures are taken, and fixed daily sales for fixed costs as “X0 × W0” Expense profit or loss is expressed as being equal to “X0 × W0−X0”. Here, “X0” means the total fixed cost per day, and “W0” means profit efficiency generated by the fixed cost per day.

  The total fixed costs include personnel expenses, property taxes on land and buildings, loans, utility costs, amusement machines, pedestrian machines, card systems, and property management taxes for each facility (POS). , Loans, card related expenses, cost amortization, etc.

  In addition, regarding the sales measures (A1) to (A12) described above, arbitrary sales measures, and unknown factors, sales may be expressed as “Xi × Wi” and profit / loss as “Xi × Wi-Xi”. it can. Next, these will be specifically described.

(A1) It is a business measure genre related to payout policy such as changes in the payout rate by adjusting nails in a pachinko machine and changes in the purchase price of special prizes for a single pachinko machine. ”And the Hijidama policy change profit / loss is equal to“ X1 × W1-X1 ”.
Here, “X1” means the cost in the daily payout policy, and “W1” means the profit efficiency generated by the cost per day. It should be noted that the above-mentioned “input X1” can be the total amount of premiums paid out for a pachinko prize per day, and is input in step S312.

  Also, for example, for the entire game hall or each gaming machine, the vertical axis is “W1”, the horizontal axis is the base average, the average play rate setting average, the start rate average (start once per 16 shots), etc. By showing the values and displaying them on a graph, it is possible to study the optimum setting conditions.

  Furthermore, when measuring the effect of a combination of a plurality of nail adjustments performed based on a certain business idea, for example, when nails are closed to a predetermined width at a ratio of one to four pachinko machines on Saturday and Sunday Evaluation index value, evaluation index value when the width of the nail was restored on Monday, Thursday and Friday, when the nails were spread to a predetermined width at a rate of one for three pachinko machines as priming on Saturday and Sunday Optimal setting by displaying a graph with arbitrary function values such as average value such as evaluation index value, difference or ratio between maximum and minimum values, and difference / (7 days from Saturday to Friday) as the horizontal axis of the graph Conditions can be considered.

(A2) Sales policy genre related to a medal policy such as a change in the medal rate in a slot machine and a change in the purchase price of a special prize for one medal. The Hiji medal policy change profit / loss is expressed as being equal to “X2 × W2-X2”.
Here, “X2” means the cost in the daily medal policy, and “W2” means the profit efficiency generated by the daily cost. It should be noted that the above-mentioned “input X2” can be the total amount of premiums paid out per award medal, and is input in step S312.

In addition, for example, for the entire game hall or each gaming machine, the optimum setting condition is examined by displaying the evaluation index value such as “W2” on the vertical axis and the average of the slot “setting” on the horizontal axis and displaying it on a graph. can do.
Further, when measuring the effect of a combination of a plurality of “settings” performed based on a certain business philosophy, for example, the evaluation index value of setting 2, the evaluation when setting 3 is restored from the setting on Monday Index values, average values such as evaluation index values, etc. when the setting value is set to 1 for every 3 slot machines on Saturdays and Sundays on Thursdays and Fridays, the difference between the maximum value and the minimum value, the ratio / By displaying an arbitrary function value (such as 7 days from Saturday to Friday) on the graph as the horizontal axis of the graph, the optimum setting condition can be examined.

(A3) This is a sales measure genre related to points such as a change in the amount of point grant, and represents that the daily point effect sales are equal to “X3 × W3” and the daily point effect profit / loss is equal to “X3 × W3−X3”.
Here, “X3” means the cost for granting points per day, and “W3” means the profit efficiency generated by the daily costs.

  In the above, “X3” is assumed that the investment cost is not known unless the business measure is executed. However, it is troublesome to calculate the total prize cost by manual calculation. Therefore, in the case of ball reduction (reduction with 4 pachinko balls and 20 yen per medal), set the ball return amount x 4 yen and medal return amount x 20 yen to be calculated at the end of the business measure related to the points. And calculating the total cost of prizes can be saved.

In addition, X3 can be calculated and input by the equation (40) even during the sales measure period.
X3 = “Adjusted sales per day” × “Point return rate” × “Normal point exchange rate” (40)
Here, “corrected sales per day” in equation (40) is calculated from equation (27). The “point return rate” is the ratio of the total amount of rewards returned to the player for sales, and the “normal point exchange rate” is the ratio of the point amount returned by the player out of the total amount of points awarded. is there.

  Also, for example, for points such as store visit points, ball rental proportional points, winning / losing points, etc., the optimal setting conditions are examined by displaying “W5” on the vertical axis and the amount of each point given on the horizontal axis. can do.

(A4) Sales policy genre related to the introduction of new equipment, in which the new equipment introduction sales are equal to “X4 × W4” and the new equipment introduction profit / loss is equal to “X4 × W4-X4”.
Here, “X4” means the cost for introducing new equipment per day, and “W4” means the profit efficiency generated by the daily cost.

  Note that “X4” is the prepaid investment expense as described above, and is the installation equipment cost input in step S312. However, since the installation cost is high and the usage period is long, it is necessary to measure the effect over a long period of time. Therefore, “Normal Sales” in Formula (36-1), “Normal Profit / Loss” in Formula (37-1), “Average of Corrected Sales” in Formula (31), “Average of Adjusted Profit / Loss” in Formula (34) "" Can be measured over a long period of time, assuming an average value immediately before the introduction of new equipment. When these average values are updated after the installation of equipment, the average value eventually catches up with the value obtained by adding the new equipment introduction effect to the normal part so far, and it becomes impossible to measure the effect over a long period of time. In addition, in the introduction of new equipment, the effects after the introduction are not unstable for a long time, and are fixed at the initial stage. Therefore, it is good also as a specification which fixes the daily effect in one month after installation of equipment, and does not correct after that. By measuring the effect as described above, it is possible to improve the accuracy of effect measurement in introducing the equipment.

  Expenses for introducing new equipment include, for example, purchase costs for gaming machines, premium management machines (POS), card systems, and inter-vehicle machines, and deposits, consumption taxes, contract fees, etc. associated with the purchases. In addition, since each device has a unique information number, it is possible to tabulate each device, each gaming machine type, etc. For example, “X6” for each gaming machine or each gaming machine type, Calculation of “W6” is also possible.

(A5) Sales policy genre related to the distribution of advertisements, where the daily new advertising effect sales are expressed as “X5 × W5” and the daily new equipment introduction profit / loss is equal to “X5 × W5-X5”.
Here, “X5” means a cost for a new advertisement per day, and “W5” means a profit efficiency generated by the daily cost.

  As described above, “X5” is a prepaid investment cost in the case of flyers and the like, and is an advertising cost input in step S312. Since Internet-related expenses, station posters, etc. are always advertisements, if the advertising expenses for each predetermined period are input in step S312, and if they are regularly implemented, the average value of the advertising expenses is updated after the sales measure (A0) ) It may be included in the fixed cost and included in the effect W0, or the average value of the advertising expenses may be fixed as one effect in the long term using the value before the sales measure.

  Note that expenses for new advertisements include, for example, DM expenses, flyer expenses, Internet-related expenses (including mail advertisements), poster advertisement expenses, and the like. Since each new advertisement has a unique information number, it is possible to count each new advertisement. For example, it is possible to calculate “X7” and “W7” for each new advertisement.

(A6) Sales policy genre related to new hiring or dismissal of a store clerk, where the new job hiring effect sales are expressed as “X6 × W6”, and the new job hiring effect profit / loss is equal to “X6 × W6-X6”.
Here, “X6” means the cost for dismissing new jobs per day, and “W6” means the profit efficiency generated by the daily costs.

Note that “X6” is an expense that becomes apparent after hiring a person, actually working, or dismissing a clerk as described above. Therefore, in step S312, W6 may be calculated by inputting a predictable labor cost for the time being. In addition, the labor cost incurred in January may be input again to calculate the accurate W6.
For example, if a new clerk is hired and “W6” is greater than 1, the effect of the hiring can be measured. It is possible to consider such things as Further, if the negative value is less than 0, it can be interpreted that a certain clerk has a bad attitude and the player has left the gaming hall. Also, assign an information number to each clerk to measure, for example, the effect of hiring a clerk when a new clerk is hired or the effect of laying off a clerk when a clerk is fired. Can do.

(A7) It is a sales measure genre related to education for salesclerks, and represents the day education effect sales as “X7 × W7” and the day education effect profit / loss as “X7 × W7−X7”.
Here, “X7” means the expense in daily salesclerk education, and “W7” means the profit efficiency generated by the daily expense.

  As described above, “X7” may be input in step S312 as a prepaid investment expense. For in-house education, the hourly wage for each person who participated in the education is multiplied by the amount of time spent on education. Multiply the time spent on the meeting and add the external training fee to the prepaid investment expenses. In other words, the expenses for clerk education can be calculated by, for example, “number of participating clerk × average hourly wage × required time”, “number of participating clerk × average hourly wage × required time + external training fee”, etc. In addition, by displaying “W7” on the vertical axis and the expenses and the contents of education in the clerk education on the horizontal axis and displaying them on a graph, it is possible to examine the optimum educational conditions.

(A8) This is a sales measure genre related to the sales system change, and represents that the daily sales system change effect sales are equal to “X8 × W8” and the daily business system change effect profit / loss is equal to “X8 × W8−X8”.
Here, “X8” means the cost for changing the daily business method, and “W8” means the profit efficiency generated by the daily cost.

  Note that “X8” may be calculated as “Xi from simultaneous equations” and “Wi from simultaneous equations” without being input in step S312.

(A9) Sales policy genre related to the impact of new store openings and new openings of other companies' game halls. Sales at the events of other companies are "X9 x W9" and profits at the events of other companies are "X9 x W9- X9 ".
Here, “X9” means the expense corresponding to the loss cost temporarily lost due to the new store opening and new opening of the game hall of other companies, and “W9” generates the daily expense. It means profit efficiency.

  Note that “X9” may be calculated as “Xi from simultaneous equations” and “Wi from simultaneous equations” without being input in step S312.

(A10) It is a business measure genre related to the change of the replay fee, and the replay fee change sales are expressed as “X10 × W10” and the daily replay fee change profit / loss is equal to “X10 × W10-X10”.
Here, “X10” means the cost for changing the daily replay fee, and “W10” means the profit efficiency generated by the daily cost.

  Note that “X10” may be calculated as “Xi from simultaneous equations” and “Wi from simultaneous equations” without being input in step S312. Further, by displaying “W10” on the vertical axis and the value of the replay fee on the horizontal axis and displaying the graph on the graph, it is possible to examine the optimum setting condition.

  (A11) Other than the sales policies of (A0) to (A10) above, for example, any sales policy genre in wagon sales such as juice and lunch boxes, thorough cleaning of toilets, placement of gaming machines in the game hall, The daily voluntary measure sales are expressed as “X11 × W11”, and the daily voluntary measure profit / loss is expressed as “X11 × W11−X11”.

  It is to be noted that by displaying “W11” on the vertical axis and the degree of thoroughness in each arbitrary business measure on the horizontal axis and displaying the graph on the graph, it is possible to examine the optimum arbitrary business measure.

  (A12) It is a sales measure genre related to an unknown factor that is not based on the sales policy of (A0) to (A11) and any sales policy, and the unknown factor sales is “X12 × W12” and the unknown factor The profit / loss is expressed as being equal to “X12 × W12−X12”.

  Subsequently, the control unit 200 performs the operations from step S321 to step S326, and the business results calculated by solving the result of effect measurement based on fluctuations in values such as adjusted sales and adjusted profit / loss and / or simultaneous equations. The result of measure measurement is output to the effect measurement information management unit 204 (step S328). The effect measurement information management means 204 stores the measurement result for each input business measure.

  In the measurement result information input to the effect measurement information management means 204, the result of effect measurement based on fluctuations in values such as adjusted sales and adjusted profit / loss is internal data calculated by game information or game information. The calculated sales average and the adjusted profit / loss average are calculated by the formula (32) and the formula (35) as the values of the formulas, respectively, and the effect when the business measure is applied based on the average values is calculated by the formulas (31) and (33). ), Formula (34) and formula (37), respectively, calculated from the sales integrated value by the sales policy and the sales by the daily sales policy, and the profit / loss integrated value by the sales policy and the profit / loss by the daily sales policy.

  Further, as the measurement result information input to the effect measurement information management means 204, the result of the business measure effect measurement calculated by solving the simultaneous equations is the “simultaneous equation” according to the equations (36) and (37). "Wi from sales", "Wi for sales", "Wi for profit / loss", and "Wi from simultaneous formula", "Wi for sales", and "Wi for profit / loss" according to formula (38) and formula (39).

  Subsequently, as shown in FIG. 19, the control means 200 determines whether or not the business measure has been completed (step S329). Here, the end of the sales measure is determined based on the date when the date for applying the sales measure is set when the sales measure is set, for example. In addition, for example, when the amount of change in the adjusted profit / loss or the adjusted sales is, for example, 2% or less with respect to the average value, it may be determined that the business measure has ended.

  If it is determined in step S329 that the sales measure has ended (Yes in step S329), the control unit 200 determines whether the sales measure period is based on the information stored in the effect measurement information management unit 204. Each measured result is output to, for example, the personal computer 17 connected to the management apparatus 13, and displayed as a graph as shown in FIG. 20, for example (step S330). Here, FIG. 20 is an example in which profit efficiency “Wi” in each sales measure is shown as a pie chart.

  Thus, based on the information stored in the effect measurement information management unit 204, the measurement result under a predetermined condition can be viewed. The information output to the personal computer 17 connected to the management device 13 based on the information stored in the effect measurement information management unit 204 is, for example, “profit efficiency in each sales measure”, “ Pre-set conditions such as “profit efficiency at point grant” and “point grant amount and profit efficiency at point of visit” may be set to select information that the store clerk wants to see. Information desired by the store clerk may be arbitrarily input, and based on the information, information may be output from the effect measurement information management unit 204 to the personal computer 17 via the control unit 200 and displayed on a graph or the like.

  On the other hand, when it is determined in step S329 that the sales measure has not ended (No in step S329), the control unit 200 determines whether or not an arbitrary period has been set based on the information of the input / output information processing unit 203. It is determined whether or not there has been an instruction for effect measurement (step S331).

  When it is determined in step S331 that there is an instruction for effect measurement for an arbitrary period (Yes in step S331), the control unit 200, based on the information stored in the effect measurement information management unit 204, Each measured result in an instructed arbitrary period is output to, for example, a personal computer 17 connected to the management apparatus 13, and displayed as a graph as shown in FIG. 20, for example (step S332). FIG. 20 shows a composition ratio for each genre of (A1) to (A12) that constitutes profits for one year.

  Thus, based on the information stored in the effect measurement information management unit 204, the measurement result under a predetermined condition can be viewed. The information output to the personal computer 17 connected to the management device 13 based on the information stored in the effect measurement information management unit 204 is, for example, “profit efficiency in each sales measure”, “ Pre-set conditions such as “profit efficiency at point grant” and “point grant amount and profit efficiency at point of visit” may be set to select information that the store clerk wants to see. Information desired by the store clerk may be arbitrarily input, and based on the information, information may be output from the effect measurement information management unit 204 to the personal computer 17 via the control unit 200 and displayed on a graph or the like.

  Further, the control means 200 accepts parameters to be displayed for “Wi” designated in a predetermined business measure based on the information of the input / output information processing means 203. The parameters to be accepted include all game information processed by the management device 13, information arbitrarily selected from all internal data calculated based on this game information, and the like. Further, the selected information may be stored in the HD or the like as an arbitrary arithmetic expression, and the calculation result of the stored arithmetic expression may be used as a parameter (step S333). This is preferable because a method for measuring the effect unique to the game hall can be developed.

When the control unit 200 accepts the parameter to be displayed for “Wi” in step S333, the control unit 200 displays “Wi” on the vertical axis and the accepted parameter on the horizontal axis. For example, the accepted parameter and “Wi” are displayed. The least square method is used to absorb the error of the singular point of (parameter, Wi), and three or more (X = parameter, Y = Wi) data are substituted into the approximate expression of the quadratic expression Y = aX ² + bX + c. , A, b, and c are calculated by a discharge method suitable for computer computation, and this quadratic expression is output to the personal computer 17. The personal computer 17 displays a graph as shown in FIGS. 21 and 22 on the screen based on the output information (step S334).

  As shown in FIGS. 21 and 22, when sales and profits have maximum values, business measures can be taken with reference to the parameters that are the best sales points and the best profit points to be matched. In addition, when sales and profits increase monotonically, for example, when an increased number of gaming machines are in fashion and are instructed by a player, and further increase in operation is expected. It can be determined that more sales and profits can be obtained by further increasing the number of units.

  Here, FIG. 21 shows the relationship between the store point grant amount and the profit efficiency “Wi”, and FIG. 22 shows a safe (returned to the player side) for a predetermined number of outs (firing balls). The relationship between the base of the ratio of the supply balls to the gaming machine, that is, the supply balls to the upper plate of the game: the player's acquisition balls), and the profit efficiency “Wi” is shown. For example, from the relationship between the store point grant amount shown in FIG. 21 and the profit efficiency “Wi”, for example, it is desirable that the store point grant amount be in the range of 2 to 3 in order to obtain high profit. Understand. Further, from the relationship between the base shown in FIG. 22 and the profit efficiency “Wi”, it can be seen that, for example, it is desirable to set the base to about 50 in order to obtain high sales.

  Further, the control means 200 inputs information on the sales measure sales prohibited area based on the information of the input / output information processing means 203, and sets the sales measure sales prohibited area based on the information (step S335). The information on the sales measure prohibition area is transmitted to the overall management device 25 of the overall information center 24 via the protocol converter 14, the modem 15, and the external network 23, and stored in the overall management device 25. The information on the sales prohibition area includes information on the sales prohibition area or the sales prohibition game hall when selling the software for measuring the effect on the sales policy. Sales measures By setting prohibited areas, it is possible to prevent information from leaking to other game halls that are not affiliated stores, but for example, game halls that do not disclose information can also be established at affiliated stores. .

  Subsequently, for example, sales measure sales are performed with each game hall management device connected to the overall management device 25 of the overall information center 24 via the external network 23 (step S336). In this business measure sales, it is possible to obtain various information on other game halls and various information aggregated for the entire affiliated game hall. By obtaining this information, for example, it is possible to obtain various types of information that are ranked and tabulated for the entire affiliated game hall, and the information such as the position of the own game hall in the affiliated game hall can be obtained as information. In addition, since the person in charge of the sales measure can be registered as the sales measure information, the sales ranking of the person in charge of each sales measure for the entire affiliated game hall can also be obtained as information. Furthermore, since the sales and salary of each person in charge can be graphed, a relative comparison between the results of each person in charge and the salary can be performed. The operation of this sales measure will be described next.

(Sales measures sales)
Next, the operation of sales measure sales will be described with reference to FIGS.

  FIG. 23 is a diagram showing the components of the overall management device 25, and FIG. 24 is a diagram showing the flow of operations in the overall management device 25. The sales operation of the business measure is performed with the management device of each game hall connected to the overall management device 25 of the overall information center 24 via the external network 23.

  As shown in FIG. 2, the overall management device 25 is connected to the management system of each game hall via an external network 23. Information from each game hall is transmitted to the overall management apparatus 25, and the overall management apparatus 25 performs, for example, totalization for each game hall or totalization for the entire group game hall. Further, the information collected in the overall management device 25 can be downloaded in each game hall.

  As shown in FIG. 23, the overall management apparatus 25 includes a control unit 400, an input / output information processing unit 401, and an information management unit 402.

  The control means 400 is mainly composed of an arithmetic unit (CPU), a read only memory (ROM), a random access memory (RAM), and a hard disk (HD), and the CPU stores programs and data stored in the ROM and RAM. Used to execute various arithmetic processes. In this control means 400, input / output of information between the respective means of the input / output information processing means 401 and the information management means 402, and input / output of information to / from each game hall management device via the external network 23. I have control.

  The member card information management means 201 stores various information transmitted from each game hall and various information aggregated in the entire group game hall.

  And each means of the input / output information processing means 401 and the information management means 402 controlled by the control means 400 operates as follows (FIG. 24).

  The control unit 400 waits for input of information to the input / output information processing unit 401. When the input of information to the input / output information processing unit 401 is detected, the control unit 400 executes processing corresponding thereto.

  Based on the information from the input / output information processing unit 401, the control unit 400 determines whether or not the authentication information is correct when information about the authentication information is detected (step S410).

  If it is determined in step S410 that the authentication information is not correct (No in step S410), the control unit 400 enters a standby state.

  On the other hand, if it is determined in step S410 that the authentication information is correct (Yes in step S410), then the instruction information is “upload”, “ It is determined whether it is “screen display” or “download” (step S410).

  When it is determined in step S410 that the instruction information is “upload” (“upload” in step S410), the control unit 400 displays the sales measure information and effect measurement information from the game hall instructed to upload. Various information such as advertisement regional strategy information is uploaded via the external network 23. The uploaded various types of information are output from the input / output information processing unit 401 to the information management unit 402, and stored in the hard disk (HD) or the like for each game hall by the information management unit 402 (step S412).

  When it is determined in step S410 that the instruction information is “screen display” (“screen display” in step S410), the control means 400 inputs / outputs information processing means to the game hall instructed to upload. 401, various pieces of total information are output via the external network 23 (step S413). Information output to the game hall via the external network 23 is displayed on a screen of a personal computer 17 or the like connected to the game hall management device 13.

  Here, the various pieces of total information output from the overall management apparatus 25 include, for example, comparison information for each sales hall genre of a plurality of affiliated game halls, information on overall profit and loss and overall sales for each game hall, Information on profit / loss and sales for each model, information on profit / loss and sales for each business measure, and the like are included, but the information is not limited to this, and any information processed for each game hall is included.

  Then, the control means 400 calculates the information provision fee based on the information provided to the game hall, and outputs the amount to the game hall that provided the information via the input / output information processing means 401 and the external network 23. (Step S414).

  If it is determined in step S 410 that the instruction information is “download” (“download” in step S 410), the control unit 400 instructs the upload based on the information from the input / output information processing unit 401. Based on the information on the sales measure genre, the size of the game hall, the location of the game hall, the name of the sales measure, the effect, etc., output from the game hall that has performed, a search is made for effective sales measure conditions for that game hall (step S415). .

  Then, the control unit 400 outputs, for example, a sales measure list that is valid in the search result of the sales measure condition to the game hall via the input / output information processing unit 401 and the external network 23 (step S416). The information is output only when the game hall is not in the sales prohibition area set in step S335 in FIG.

  Subsequently, based on the information from the input / output information processing means 401, the control means 400 inputs the item selected from the sales measure list for the game hall to download (step S417).

  The control unit 400 outputs information corresponding to the selected item of the sales measure to the game hall management device 13 that has instructed the download via the input / output information processing unit 401 and the external network 23 (step S418). . It should be noted that the information corresponding to the item of the selected sales measure does not include the calculated numerical data or the like, but simply displays it as image data on the screen of the personal computer 17 connected to the management device 13 of the game hall. Good.

  Subsequently, the control unit 400 sends the information on the provision fee of the information corresponding to the selected business measure item via the input / output information processing unit 401 and the external network 23, and the management apparatus 13 of the gaming hall that gives an instruction to download. (Step S419). The information provision fee includes a business measure information provision fee, a fee, and the like. These sales measure information provision fees, fees, etc., for example, are set to be more expensive as the sales measure effect is higher.

(Development of regional strategy for advertising)
The regional strategy formulation for advertisement will be described with reference to FIGS.

  FIG. 25 is a diagram showing a flow of operations when formulating a regional strategy for advertisement. FIG. 28 is a diagram illustrating a flow of operations when performing a calculation based on a specified calculation expression. FIGS. 26, 27, 29, and 30 are examples of display screens displayed on the personal computer 17.

  This regional strategy for advertising is based on the characteristics and effects of measuring the effectiveness of sales measures in each region when conducting sales measures such as advertisements based on the information on each measure and the effect measurement information on each measure. This is used when considering the distribution method of a typical advertisement.

  The control means 200 is in a standby state until, for example, information related to registration such as a region number or search information connected to the management apparatus 13 is input from the personal computer 17 or the like, and if any input is detected. The process according to it is performed.

  Based on the information from the input / output information processing unit 203, the control unit 200 determines whether information related to registration such as a region number has been input (step S500).

  If it is determined in step S500 that information related to registration such as an area number has been input (Yes in step S500), the input information includes a sales measure name, an advertisement distribution date, a sales measure application period, Sales measure information such as the person in charge of the advertisement, the name of the advertisement genre, the name of the newspaper delivery person, and the area number is stored in the effect measurement information management means 204 (step S501).

  Such information is performed by, for example, a personal computer 17 connected to the management apparatus 13 by a store clerk or the like who sets business measures. Further, the input items are not limited to these, and can be set as appropriate.

Subsequently, based on the operation of a store clerk or the like, the control means 200 inputs a map image of the area with a scanner, for example, to set the area number via the Internet or the like, and outputs it to the personal computer 17. The store clerk coordinates the input image based on the map image shown on the screen of the personal computer 17 as shown in FIG. 26, classifies the map image for each predetermined area, and for each predetermined area. Enter the region number for each segmented area. The control means 200 stores the information, which is divided for each predetermined area and the area number is input, in the effect measurement information management means 204 (step S502).
Then, the process returns to step S500.

  If it is determined in step S500 that information related to registration such as the area number is not input (No in step S500), the control unit 200 is based on the information stored in the effect measurement information management unit 204. Thus, the sales policy name, the sales policy genre, the sales policy manager, the sales policy implementation period, the profit and loss in the sales policy, the advertising costs, and other information related to the sales policy are output to the personal computer 17 (step S503). The output information relating to the sales policy is displayed on the screen of the personal computer 17 as a sales policy implementation result list as shown in FIG. 27 (step S503).

  Here, based on the information from the input / output information processing means 203, the control means 200 determines whether or not the “search” icon set at the bottom of the screen of the personal computer 17 has been selected (step S504). .

  If it is determined in step S504 that the “search” icon has been selected (Yes in step S504), the process proceeds to step S503.

  On the other hand, if it is determined in step S504 that the “search” icon is not selected (No in step S504), the control unit 200 continues based on information from the input / output information processing unit 203. In addition, for example, one or more items are selected from the implementation result list of each business measure shown in FIG. 27, and the “selected MAP display” icon set at the bottom of the screen of the personal computer 17 is selected. It is determined whether or not it has been done (step S505).

  If it is determined in step S505 that no item is selected from the implementation result list of each sales measure and the “Selected MAP display” icon is not selected (No in step S505), the control unit 200 waits. It becomes a state.

  If it is determined in step S505 that an item is selected from the implementation result list of each sales measure and the “Selected MAP display” icon is selected (Yes in step S505), the control unit 200 continues. Based on the information stored in the effect measurement information management means 204, a calculation based on the specified calculation formula is performed (step S506).

  Here, in the calculation based on the specified calculation formula, the total gross profit for each region, the advertising cost for each region, and the like are calculated for each region divided by each region number based on each set specified calculation formula.

  Next, an operation based on this designated operation expression will be described with reference to FIG.

  First, the control means 200 determines whether or not the calculation has been completed for all the areas divided by each area number (step S600).

  If it is determined in step S600 that the calculation has been completed for all the areas divided by the area numbers (Yes in step S600), the process proceeds to step S507 ("P") in FIG.

  When it is determined in step S600 that the calculation has not been completed for all the areas divided by the area numbers (No in step S600), the control unit 200 reads from the input / output information processing unit 203. Based on the information, it is determined which one of the designated arithmetic expressions (1) to (8) has been selected (step S601). The selection of the specified arithmetic expression can be specified by, for example, the “change specified arithmetic expression” icon set at the bottom of the screen of the personal computer 17 shown in FIGS. In addition, on the screen that is initially displayed, for example, the result calculated by the designated calculation formula (1) is displayed.

Subsequently, when it is determined in step S601 that the “specified arithmetic expression (1)” has been selected, the control unit 200, based on the information stored in the effect measurement information management unit 204, Calculation is performed using the following specified calculation formula (1) (step S602).
Effect for each area number 1 = Total gross profit per area-Advertising cost per area ... Designated formula (1)
Here, the gross profit per area is, for example, the gross profit per area number in a predetermined period such as a business measure period.

In addition, the advertising cost for each area is calculated by the designated calculation formula (1-1) shown below.
Advertising cost for each region = current advertising cost × number of pieces distributed to the area of one area number / number of pieces distributed this time ... Designated formula (1-1)

If it is determined in step S601 that “designated arithmetic expression (2)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation according to the specified calculation formula (2) shown in FIG.
Effect per region number 2 = Gross profit per region / Advertising cost per region ... Designated formula (2)

If it is determined in step S601 that “designated arithmetic expression (3)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation is performed according to the specified calculation formula (3) shown in FIG.
Effect per area number 3 = Gross profit per area-Advertising cost per area-Advertising cost discount for fixed expenses ... Designated formula (3)

Here, the fixed cost advertising expense ratio is calculated by the following designated arithmetic expression (3-1).
Fixed cost advertising expense discount = Annual fixed cost x Annual store sales for one area number / Annual store sales for amusement hall… Designated formula (3-1)

If it is determined in step S601 that “designated arithmetic expression (4)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation according to the designated calculation formula (4) shown in FIG.
Effect for each area number 4 = Gross profit total for each area / (Advertising expenses for each area + Advertising expenses for fixed expenses) ... Designated formula (4)

If it is determined in step S601 that “designated arithmetic expression (5)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation according to the specified calculation formula (5) shown in FIG.
Effect for each area number 5 = Gross profit for each area-Advertising cost for each area-Total gross profit for new members during period ...
Here, the gross profit margin of the new member for the period is, for example, the sum of the predetermined period and the subsequent gross profit for the member who became a new member during the predetermined period such as the business measure period.

If it is determined in step S601 that “designated arithmetic expression (6)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation is performed according to the specified calculation formula (6) shown in FIG.
Effect for each area number 6 = Gross profit per area / (Advertising expenses per area + Gross profit for new members for period) ... Designated formula (6)

If it is determined in step S601 that “designated arithmetic expression (7)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation is performed according to the specified calculation formula (7) shown in FIG.
Effect for each area number 7 = Gross profit per area-Advertising cost per area-Total new member's gross profit-Fixed cost advertising expense ... Designated formula (7)

If it is determined in step S601 that “designated arithmetic expression (8)” has been selected, the control unit 200 performs the following based on the information stored in the effect measurement information management unit 204. The calculation is performed according to the specified calculation formula (8) shown in FIG.
Effect for each area number 8 = Gross profit per area / (Advertising expenses per area + Gross profit for new members + Advertising expenses for fixed expenses)… Designated formula (8)

  Subsequently, as shown in FIG. 25, the control means 200 performs contour line calculation for the values for each area number calculated by the selected designated calculation expression (step S507). Whether or not to display the contour line can be specified by, for example, the “contour line ON” icon set at the bottom of the screen of the personal computer 17 shown in FIGS. 29 and 30. For example, when the “Contour Line ON” icon is selected while the contour line is displayed, the display of the contour line may be erased. Moreover, you may display the result which described the contour line on the screen initially displayed, for example. 29 and 30 show examples of screens on which contour lines are described.

  Upon completion of the calculation based on the above-described specified calculation formula and the contour line calculation, the control means 200 outputs the calculation result to the personal computer 17, and the screen of the personal computer 17 displays the sales measure implementation result list shown in FIG. To the map display shown in FIGS. 29 and 30 (step S508). 29 and 30 show screens when two items are selected from the business measure implementation result list shown in FIG. Here, when three items are selected from the implementation result list, a screen as shown in FIGS. 29 and 30 for each item is displayed.

  Subsequently, the control means 200 sets “end”, “return”, “return” set at the lower part of the screen of the personal computer 17 as shown in FIGS. 29 and 30 based on the information from the input / output information processing means 203. It is determined whether any of the icons “all”, “non-members only”, “members only”, “change specified arithmetic expression”, or “contour line ON” has been selected (step S509). Here, “whole” is a case where information on both non-member players and member players is displayed.

  If it is determined in step S509 that the “return” icon has been selected (“return” in step S509), the process proceeds to step S503.

  If it is determined in step S509 that the “designated arithmetic expression change” icon has been selected (“designated arithmetic expression change” in step S509), the process proceeds to step S506, and the displayed designated arithmetic expression is used. The result calculated by the other specified arithmetic expression other than the calculated one is displayed. In addition, as the icon is selected, the results calculated with different specified arithmetic expressions are sequentially displayed 6.

  If it is determined in step S509 that the “contour line ON” icon is selected (“contour line ON” in step S509), the process proceeds to step S507.

  Further, when the icons “all”, “non-member only”, and “member only” are selected, the calculation result of the selected condition is displayed.

  As described above, according to the information processing apparatus, the information processing method, and the information processing system of the present invention, the effect on the sales policy is calculated based on the game information from each device installed in the game hall. The effect of the sales measures to be held can be measured for each sales measure, and the results can be quantified. Thereby, based on the digitized information, it is possible to examine the optimal sales policy and the optimal setting conditions in the sales policy. Further, these pieces of information are calculated and totaled for each selected predetermined condition, and can be shown in a graph or the like.

  In addition, information on the address of the member player managed based on the ID of the member card, or the area number input by the player from the numeric keys 3k, 4k, 6k, etc. The area of residence can be specified based on the above, and the effect on the sales policy can be calculated for each area. Moreover, the result of the effect in the business measure calculated for each region can be displayed in a list or on a map for each region.

  Further, the overall management device 25 is communicably connected to each of the management devices 13 installed in a plurality of game halls, and can input game information and information regarding sales measures for each game hall. And based on the game information of each game hall and the information regarding a sales measure, each information can be calculated and totaled. Moreover, these calculations and the totalized information can be output to the management device 13 installed in each game hall that is communicably connected to the overall management device 25.

1 is a schematic diagram of an information processing system including a management device according to an embodiment of the present invention. The outline | summary in which the management apparatus of each game hall was connected to the general information center via the external network is shown. The perspective view of an IC card for members and an IC card for non-members. The top view of a pedestal machine (unit). The top view of a pedestal machine (sand). The top view of a daikan machine (an intermediary medal lending machine). The partial enlarged front view of the display part of a daikan machine. The internal block diagram of a pedestal machine. The figure which shows the structure part of a pedestrian machine. The figure which shows the flow of operation | movement in an inter-machine. The figure which shows the flow of operation | movement in an inter-machine. The figure which shows an example of the advertisement distributed. The figure which shows the structure part of a management apparatus. The figure which shows the flow of operation | movement in a management apparatus. The figure which shows an example of an information management list. The figure which shows an example of an information management list. The figure which shows the flow of operation | movement in an effect measurement calculation. The figure which shows the flow of operation | movement in an effect measurement calculation. The figure which shows the flow of operation | movement in an effect measurement calculation. The figure which shows an example of the graph displayed. The figure which shows an example of the graph displayed. The figure which shows an example of the graph displayed. The figure which shows the structure part of a general management apparatus. The figure which shows the flow of operation | movement in an integrated management apparatus. The figure which shows the flow of operation | movement at the time of performing area | region strategy for advertisement. The figure which shows an example of a display screen. The figure which shows an example of a display screen. The figure which shows the flow of operation | movement at the time of performing the calculation based on a designation | designated arithmetic expression. The figure which shows an example of a display screen. The figure which shows an example of a display screen.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Information processing system, 2 ... Pachinko machine, 3, 4, 6 ... Intermediary machine, 5 ... Slot machine, 7 ... Island computer, 8 ... Network, 9 ... Counter, 10 ... Checkout machine, 11 ... Premium management machine (POS), 12 ... Replay acceptance machine, 13 ... Management device, 14 ... Protocol converter, 15 ... Modem, 16 ... Card center, 17 ... Personal computer, 18 ... Premium dispenser, 19 ... Bill identification device with storage mechanism, DESCRIPTION OF SYMBOLS 19a ... Bill insertion slot, 19b ... Inter-machine designation button, 20 ... Issuing machine, 21 ... Data display machine, 22 ... Data disclosure machine, 24 ... General information center, 25 ... General management apparatus.

Claims (41)

An information processing device for measuring the effect of sales measures taken at a game hall,
Sales measure input means for inputting one or more sales measures,
Game information management means for inputting and storing game information related to various devices installed in the game hall;
Based on the game information, an effect calculation means for calculating an effect in the sales measure,
An information processing apparatus comprising: calculation result output means for outputting the effect calculated by the effect calculation means. An information processing device for measuring the effect of sales measures taken at a game hall,
Sales measure input means for inputting one or more sales measures,
Game information management means for inputting and storing game information related to various devices installed in the game hall;
An area specifying means for specifying a residence area of a player who plays using the various devices;
Based on the game information, for each area specified by the area specifying means, an effect calculating means for calculating the effect in the sales measure,
An information processing apparatus comprising: calculation result output means for outputting the effect for each area calculated by the effect calculation means for each area.   3. The information processing apparatus according to claim 1, wherein when the effect calculation means calculates an effect in the business measure, the calculation factor includes one or more time factors. 4.   4. The information processing according to claim 3, wherein the time factor is averaged so that the influence of the newly calculated time factor on the previously calculated time factor decreases as the elapsed period increases. apparatus. The effect calculating means is
5. The game information or an average value of internal data calculated based on the game information is calculated, and an effect when the business measure is applied is calculated based on the average value. The information processing apparatus according to any one of claims. The effect calculating means is
When calculating the effect on the sales policy, the following equations (1) and (2):
(1) Sales (A) = Investment expenses for sales measures (X) x Investment efficiency for sales measures (W)
(2) Profit / Loss (B) = Investment Expenses for Sales Measures (X) x Profit Efficiency for Sales Measures (W)-Investment Expenses for Sales Measures (X)
The information processing apparatus according to any one of claims 1 to 4, wherein a sales policy investment cost (X) and a sales policy profit efficiency (W) in the sales policy are calculated from at least one of the above.   The information processing apparatus according to any one of claims 1 to 6, wherein a period for calculation can be arbitrarily set when the effect calculation means calculates the effect in the business measure. The effect calculating means is
The information processing apparatus according to claim 1, wherein an effect can be calculated for each sales measure. Fluctuation detecting means for detecting fluctuations in the game information or internal data calculated by the game information when a sales measure is not input to the sales measure input means;
An unknown sales measure effect calculating means for calculating an effect as an unknown sales measure when a change is detected by the change detecting means;
The information processing apparatus according to claim 1, further comprising: an unknown business measure effect output unit that outputs an effect calculated by the unknown business measure effect calculation unit.   The effect calculated by the effect calculating means or the unknown sales measure effect calculating means is at least one of sales fluctuation, profit and loss fluctuation, and profit efficiency in the sales measure. The information processing apparatus according to any one of 9. The information processing apparatus is
Genre registration means for classifying the sales measures and specifying and registering a preset genre;
The calculation result output means can output the effects calculated by the effect calculation means for each genre registered by the genre registration means for each sales measure belonging to the genre based on the output request. The information processing apparatus according to claim 1, wherein: The information processing apparatus is
A person-in-charge registration means for registering information based on a person in charge of the sales measure,
12. The calculation result output means can output an effect calculated for each person in charge registered by the person in charge registration means based on an output request. Information processing device.   Based on the output request, the calculation result output means approximates the effect calculated by the effect calculation means to a quadratic expression using the game information or internal data calculated by the game information as a calculation factor, and displays the graph The information processing apparatus according to claim 1, wherein the information processing apparatus is possible. The information processing apparatus is
Map display means for displaying the effect for each area output from the calculation result output means on the map for each area;
The information processing apparatus according to claim 2, further comprising: a contour line display unit that indicates a region equivalent to the effect displayed by the map display unit with a contour line.   15. The information processing apparatus according to claim 2, further comprising related information display means for displaying at least a part of information stored in the game information management means in relation to the business measure. An information processing apparatus provided at a game hall,
Game information management means for inputting and storing game information related to various devices installed in the game hall;
Fluctuation detecting means for detecting fluctuations in the game information or internal data calculated by the game information;
An effect calculating means for calculating an effect on the fluctuation when the fluctuation is detected by the fluctuation detecting means;
An information processing apparatus comprising: calculation result output means for outputting the effect calculated by the effect calculation means. The effect calculating means is
The information processing apparatus according to claim 16, wherein an average value of the game information or internal data calculated based on the game information is calculated, and an effect on the variation is calculated based on the average value.   18. The information processing apparatus according to claim 16, wherein the effect calculated by the effect calculation means is at least one of a change in sales, a change in profit and loss, and a profit efficiency in the change in the internal data. . A sales measure input means for inputting information based on one or more sales measures;
Game information management means for inputting and storing game information related to various devices installed in the game hall;
Based on the game information, an effect calculation means for calculating an effect in the sales measure,
A calculation result output means for outputting the effect calculated by the effect calculation means;
An information processing method in an information processing apparatus comprising: the business measure input means; the game information management means; the effect calculation means; and a control means for controlling the calculation result output means,
The sales measure input means inputs information based on one or a plurality of sales measures and outputs to the control means;
A game information management step in which the game information management means inputs and stores game information related to various devices installed in the game hall;
An information output step in which the control means outputs information based on sales policies and game information obtained from the game information management means to the effect calculation means;
The effect calculation means calculates an effect in the business measure based on the game information, and outputs to the calculation result output means via the control means;
An information processing method comprising: a calculation result output step in which the calculation result output means outputs the effect calculated in the effect calculation step. Sales measure input means for inputting one or more sales measures,
Game information management means for inputting and storing game information related to various devices installed in the game hall;
An area specifying means for specifying a residence area of a player who plays using the various devices;
Based on the game information, for each area specified by the area specifying means, an effect calculating means for calculating the effect in the sales measure,
A calculation result output means for outputting the effect for each area calculated by the effect calculation means for each area;
An information processing method in an information processing apparatus comprising: the business measure input means; the game information management means; the region specifying means; the effect calculation means; and a control means for controlling the calculation result output means,
The sales measure input means inputs information based on one or a plurality of sales measures and outputs to the control means;
A game information management step in which the game information management means inputs and stores game information related to various devices installed in the game hall;
An area specifying step for outputting, to the control means, information on a residence area of a player who plays a game input from any of the various devices;
An information output step in which the control means outputs information based on sales policies, game information obtained from the game information management means, and information specifying the player's residence area to the effect calculation means;
The effect calculation means calculates the effect in the business measure for each of the specified areas based on the game information, and outputs the calculation result output means to the calculation result output means via the control means;
An information processing method comprising: a calculation result output step in which the calculation result output means outputs the effect calculated in the effect calculation step for each of the specified areas. In the effect calculation step,
21. The information processing method according to claim 19 or 20, wherein when calculating the effect in the business measure, the calculation factor includes one or more time factors.   22. The information processing according to claim 21, wherein the time factor is averaged so that the influence of the newly calculated time factor on the previously calculated time factor decreases as the elapsed period increases. Method. In the effect calculation step,
23. The average value of the game information or the internal data calculated based on the game information is calculated, and the effect when the business measure is applied is calculated based on the average value. The information processing method according to any one of claims. When calculating the effect in the business measure in the effect calculating step, the following equations (1) and (2):
(1) Sales (A) = Sales Measures Investment Expenses (X) x Sales Measures Profit Efficiency (W)
(2) Profit / Loss (B) = Investment Expenses for Sales Measures (X) x Profit Efficiency for Sales Measures (W)-Investment Expenses for Sales Measures (X)
The information processing method according to any one of claims 19 to 22, wherein a business measure investment cost (X) and a business measure profit efficiency (W) in the sales measure are calculated from at least one of the items.   The information processing method according to any one of claims 19 to 24, wherein a calculation period can be arbitrarily set when calculating the effect in the business measure in the effect calculation step. In the effect calculation step,
27. The information processing method according to claim 20, wherein an effect can be calculated for each sales measure. A change detecting means for detecting a change in the game information or the internal data calculated by the game information when the sales measure is not input to the sales measure input means under the control of the control means;
An unknown sales measure effect calculating means for calculating an effect as an unknown sales measure when controlled by the control means and detecting a change by the change detecting means,
An information processing method in the information processing apparatus, further comprising: an unknown business measure effect output unit that is controlled by the control unit and outputs an effect calculated by the unknown business measure effect calculation unit,
When the sales measure is not input to the sales measure input means, the fluctuation detection means detects the game information or the fluctuation calculated by the game information, and outputs information based on the detection to the control means. A variation detection step;
A detection information output step in which the control means outputs information based on the detection of the fluctuation to the unknown business measure effect calculation means;
The unknown business measure effect calculating means calculates the effect as an unknown sales measure based on the information based on the detection of the change, and outputs the unknown sales measure effect output means to the unknown sales measure effect output means via the control means. A calculation step;
The information processing method according to any one of claims 19 to 26, wherein the unknown sales measure effect output means includes an unknown sales measure effect output step of outputting the calculated effect.   20. The effect calculated in the effect calculating means step or the unknown sales measure effect calculating step is at least one of sales fluctuation, profit and loss change, and profit efficiency in the sales measure. 28. The information processing method according to any one of items 27 to 27. An information processing method in the information processing apparatus further comprising genre registration means controlled by the control means and specifying and registering a preset genre by dividing the sales measure,
Based on the output request, the control means reads out the genre registered in the genre registration means, and displays information obtained by arranging the effects calculated in the effect calculation step for each sales measure belonging to the genre for each genre. Genre information output step for outputting to the calculation result output means;
The information processing method according to claim 19 or 20, further comprising: a calculation result output step in which the calculation result output means outputs the information output in the genre information output step. An information processing method in the information processing apparatus further comprising a person-in-charge registration unit that is controlled by the control unit and registers information based on a person in charge of the sales measure,
Based on the output request, the control means reads out the person in charge registered in the person in charge registration means, and outputs the calculation result information summing up the effects calculated in the effect calculation step for each person in charge who has been read out A person information output step to output to the means;
The information processing method according to claim 19 or 20, further comprising: a calculation result output step in which the calculation result output means outputs the information output in the person-in-charge information output step.   In the calculation result output step, based on the output request, the game information or the internal data calculated by the game information is used as a calculation factor, and the effect calculated in the effect calculation step is approximated to a quadratic expression and displayed as a graph. 30. The information processing method according to claim 29, which is possible. Map display means that is controlled by the control means and displays the effect for each area output from the calculation result output means on the map for each area;
An information processing method in the information processing apparatus, further comprising: contour line display means that is controlled by the control means and that shows the equivalent area of the effect displayed by the map display means by contour lines,
The map display means inputs the effect for each area output from the calculation result output means, and displays the map on the map for each area;
21. The information processing method according to claim 20, further comprising: a contour line display step that shows a region equivalent to the effect displayed in the map display step by contour lines. An information processing method in the information processing apparatus, further comprising related information display means that is controlled by the control means and displays at least a part of information stored in the game information management means in relation to the sales measure. ,
The control means reads out information related to the business measure from the game information management means, and outputs the related information output means to the related information display means;
The information processing method according to claim 20 or 23, further comprising: a related information display step in which the related information display means displays information related to the business measure. Game information management means for inputting and storing game information related to various devices installed in the game hall;
Fluctuation detecting means for detecting fluctuations of the game information or internal data calculated by the game information;
An effect calculating means for calculating an effect on the fluctuation when the fluctuation is detected by the fluctuation detecting means;
A calculation result output means for outputting the effect calculated by the effect calculation means;
An information processing method in an information processing apparatus comprising: the game information management means; the fluctuation detection means; the effect calculation means; and a control means for controlling the calculation result output means,
A game information management step in which the game information management means inputs and stores game information related to various devices installed in the game hall;
A fluctuation detecting step in which the fluctuation detecting means detects fluctuations in the game information or internal data calculated by the game information, and outputs information based on the detection to the control means;
A detection information output step in which the control means outputs information based on the detection of the fluctuation to the effect calculation means;
The effect calculating means calculates an effect based on information based on the detection of the variation, and outputs an effect calculation step to the calculation result output means via the control means;
The calculation result output means comprises a calculation result output step for outputting the calculated effect. In the effect calculation step,
35. The information processing method according to claim 34, wherein an average value of the game information or internal data calculated based on the game information is calculated, and an effect on the variation is calculated based on the average value.   36. The information processing method according to claim 34 or 35, wherein the effect calculated in the effect calculating step is at least one of a change in sales, a change in profit and loss, and a profit efficiency in the change in the internal data. . An information processing system comprising an overall information processing apparatus communicably connected to each of the information processing apparatuses according to any one of claims 1 to 15 installed in a plurality of game halls,
The overall information processing device
Information input means for inputting information relating to sales measures output from the information processing device of each game hall, and game data and / or internal data calculated by the game information;
Information management means for storing the input information corresponding to each game hall;
An information output system comprising: information output means for outputting information stored by the information management means. Based on information stored in the information management means, information calculation and aggregation means capable of calculating and / or totaling each information to create processing information;
38. The information processing system according to claim 37, wherein the information output means outputs the machining information created by the information calculation totaling means. In the information processing system,
41. The information processing system according to claim 39, wherein a setting for disabling output of information by the information output means is possible for a predetermined game hall. The information calculation aggregation means is
40. Information according to any one of claims 37 to 39, wherein information for all or predetermined game holes can be aggregated based on information from each of the game holes stored in the information management means. Processing system.   In totaling information in all or predetermined game halls, it is possible to calculate an effect integrated value for each person in charge of sales measures, and to display the effect integrated value and salary information of the person in charge. The information processing system according to any one of claims 37 to 40.

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