TWI689882B - Compensation prediction calculation device, compensation prediction calculation server, compensation prediction calculation computer program product, and compensation prediction calculation method - Google Patents

Abstract

The present invention is to provide a compensation prediction calculation device, a prediction server, a prediction computer program product, and a prediction method for compensation setting. The compensation decision rule has configuration information, and the configuration information is mapped to the configuration of each member. The configuration system of each member In order for each member to be virtually placed at each node of the binary tree data structure to form a filled hierarchy, the calculation of the amount of compensation is based on the members of the lower hierarchy branched from their members based on the allocation information Based on the total number of commodities purchased, the maximum amount given, and the remuneration base given, the total number of commodities purchased is evaluated by discretizing the remuneration base to calculate the provisional remuneration amount and the amount of remuneration The calculation is based on the provisional remuneration amount not exceeding the maximum limit.

Description

Compensation prediction calculation device, compensation prediction calculation server, compensation prediction calculation computer program product, and compensation prediction calculation method

The present invention relates to a compensation prediction calculation device, a compensation prediction calculation server, a compensation prediction calculation computer program product, and a compensation prediction calculation method for predicting a reasonable compensation setting in a member-based introduction sales organization.

Membership introduction sales organization is an organization with various forms. The basic form is to join the organization as a new member by purchasing the products sold by the control company through the introduction of the member. The control company pays the reward (bonus) to the introduction member.

Although the members themselves do not sell goods, they can obtain compensation from the company through introduction. In addition, the controlling company can also consider the membership organization formed through introduction as an infrastructure for selling goods without stores. Therefore, it is considered that this is beneficial to both the member and the controlling company, and for a while has greatly expanded the membership introduction sales organization.

However, there are also a few cases that are contrary to these benefits. For example, the control company has developed a compensation plan with too much compensation, and the result is a case where the business operation fails, and frequent changes to the compensation plan to avoid failure. The sense of insecurity finally led to a case where the member organization was forced to dissolve. As a result, it is restricted by the law and the number of control companies is reduced.

Although the reason for the occurrence of these things can be said to be caused by a compensation plan that tends to become too large, on the other hand, it is because it is not easy for the control company to set an appropriate compensation plan. If the membership introduction sales and circulation organization can quickly bring in more members to join, even if no amount of remuneration is given, the business of the controlling company can continue to be maintained. In a situation where there is a lot of remuneration, because there are more members to join and the remuneration is paid more, there is a tendency that the risk of operating failure of the controlling company becomes higher. Conversely, if there is too little remuneration, there is a tendency to reduce the number of members to join because of the lack of charm to attract members.

The appropriateness of the company’s compensation plan is related to various factors such as the price or attractiveness of the goods sold, the number of members, and economic trends. Therefore, it is generally unpredictable how to determine the remuneration to become an appropriate plan. There is also a strong demand in society for controlling companies to formulate appropriate compensation plans. However, the previous predictions are limited to the experience of the plan creators, and the lack of predictions with quantitative evaluations that are time-sensitive is the actual situation.

In such a situation, the inventors tried to introduce a new member to one of the members, and these new members further introduced the new member and branched into a two-tier (branched) hierarchical sales organization The remuneration plan in the member introduction sales and distribution organization was quantitatively evaluated. However, the method proposed by the inventors in the past introduced a bonus rate (elimination rate D(n)) into the compensation plan, but limited the maximum amount of compensation received within a certain period, but it is still difficult to produce a flexible Compensation plan (Patent Literature 1).

In addition, although the other methods proposed by the inventors limit the maximum amount of remuneration that can be obtained in different bonus rates (elimination rate F(n)), it is still difficult to create a flexible remuneration plan in this proposal (Patent Literature 2).

Therefore, I hope that there will be a practical and versatile method that will help to converge the bonus rate even if n becomes larger and deepen the class, and the flexible decision based on the calculated bonus rate will have an appropriate and reasonable compensation plan for the members. Compensation prediction calculation device and prediction method. [Prior Art Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Application Publication No. 2008-90804 [Patent Document 2] Japanese Patent Application Publication No. 2013-47959

The object of the present invention is to provide a compensation prediction calculation device, a prediction server, a prediction computer program product, and a prediction method, which are used to set an appropriate and reasonable compensation plan in a member-based introduction sales organization.

<1> In order to achieve the above object, the present invention provides a reward prediction calculation server, which calculates the compensation amount for the member system introducing the sales and distribution organization and predicts its dividend rate. The structure of the compensation prediction calculation server includes: 1. The communication unit is communicable with a terminal device via a network, and receives change conditions, calculation instructions, and decision instructions for calculation of the remuneration sent from the terminal device, and converts the calculated The dividend rate and the dividend rate as the decision data when the decision instruction is received are sent to the terminal device; a storage unit records the received change conditions and reward decision rules, and the reward decision rule is the convergence dividend rate; a control The Department accepts the calculation instruction received and, based on the received change conditions, based on the remuneration decision rule, repeatedly calculates the remuneration amount and predicts its dividend rate before receiving the decision instruction; The department receives the decision instruction received and provides the predicted dividend rate and a quantitative evaluation based on the dividend rate to the terminal device, where the compensation decision rule, [1] has configuration information, the configuration information It is mapped to the configuration of each member. The configuration of each member is to make each member virtually arranged at each node of the binary tree data structure to form a filled hierarchy; [2] About the calculation of the compensation amount of each member, The total number of products purchased is the total number of commodities purchased by members belonging to the lower strata branched from its members based on the allocation information, the maximum amount given, and the remuneration base given On the basis, the total number of purchases of the goods for each class is discretized by the remuneration base and evaluated to calculate the provisional remuneration amount, and the calculation of the remuneration amount is based on the provisional remuneration amount not exceeding the maximum limit The amount of compensation for members belonging to the i-th level of the binary tree data structure with a depth of n levels, where the maximum amount (M) is set to M and the basic amount of compensation (h) is set to h, The remuneration base (g) is set to g, the number of product purchases of each member is set to 1, the total number of product purchases is set to S(i), and the provisional remuneration amount is set to P(i), INT﹛﹜ In order to take the number in﹜ as an integer value operator and * as the cumulative operation symbol, the provisional reward (P(i)) is P(i)=h*INT﹛S(i)/ g﹜, the determined remuneration amount is to satisfy M≦P(i), and k+i=n+1, where it is divided with the m-th hierarchy from the n-th layer where k is the minimum value For the following situation, [Situation 1]: For members of the stratum i≦n+1-m, the compensation amount is set to the maximum amount M, [Situation 2]: For members of the stratum i>n+1-m , The remuneration amount is calculated as the provisional remuneration amount P(i)=h*INT﹛(2 ^n-i+1 -2)/g﹜.

Because it is composed of such a structure, even if the hierarchy is deepened indefinitely, the dividend rate must converge. Under the condition of changing the change conditions (parameters), the convergent dividend rate corresponding to it can be obtained, so the compensation is calculated. The quantitative assessment of painting becomes possible. In addition, a parameter called so-called remuneration base is introduced, and the total number of product purchases is discretized by the remuneration base to calculate the evaluated provisional remuneration amount. In this way, since the total number of commodities purchased can be rounded down to a simplified value of any step (step), each time the calculation of the remuneration and even the bonus rate is calculated, not only the limit of the maximum limit is introduced, but also By changing the remuneration base, fine adjustments can be made for the amount of payment by the controlling company that determines the amount of remuneration. In addition, it is easy for the member who receives compensation to adjust based on the total number of product purchases that can be expected to be linked to the amount of compensation as the base, so it is easy to be accepted. . In addition, members belonging to the upper class (shallow class) of the member organization limit the maximum amount of remuneration, while members belonging to the lower class (deep class) have a remuneration amount corresponding to the total number of purchased products. Therefore, although members of the upper class who receive higher compensation will be limited to the maximum amount, there is no deduction for members of the lower class who have not reached the maximum limit, that is, for members who have not introduced much factor. Therefore, the enthusiasm for the member to introduce is easy to maintain, and it is easy to accept because the payment conditions of the remuneration can be known in advance. In addition, for the control company, because it is easy to evaluate the dividend rate under the condition of changing the maximum amount and the compensation base at the same time, it is possible to flexibly review various compensation plans. Furthermore, even if the hierarchy is deepened indefinitely, the converged dividend rate corresponding to the changing conditions (parameters) can be obtained, thus making it possible to carry out the quantitative evaluation of the compensation plan. In addition, because the basic remuneration amount is multiplied by the evaluation value obtained by discretization as the provisional remuneration amount, the remuneration amount can use the maximum amount, the remuneration base and the basic remuneration amount as the main parameters to change the bonus rate , So you can flexibly determine the compensation plan.

<2> Further, the present invention provides a computer program product for remuneration prediction calculation, which is used to calculate the amount of remuneration for a member system introducing a sales and distribution organization and predict its dividend rate. The computer program product for remuneration prediction uses a computer as a The following institutions act: an input institution, which inputs the change conditions, calculation instructions, and decision instructions used for the calculation of the amount of compensation; a storage institution, which records the entered change conditions and compensation decision rules, which converge Bonus rate; a control agency, based on the input change conditions, based on the compensation decision rule, repeatedly calculate the compensation amount before the decision instruction is input to predict its bonus rate; a display agency, which performs the prediction Display of the resulting bonus rate; and an output mechanism that outputs the bonus rate and the change conditions stored at the same time as the decision data when the decision instruction is input, where the compensation decision rule, 〔1〕Has configuration information, which is mapped to the configuration of each member. The configuration of each member is to make each member be virtually arranged in each node of the binary tree data structure to form a filled hierarchy; [2 〕The calculation of each member’s remuneration is constituted by the total number of products purchased based on the total number of products purchased by members belonging to the lower strata branched from their members based on the allocation information. Based on the maximum amount and the compensation base given, the total number of purchases of the product for each class is discretized by the compensation base and evaluated to calculate the provisional compensation amount, and the calculation system of the compensation amount The provisional remuneration amount does not exceed the maximum amount. The provisional remuneration amount is a remuneration amount for members belonging to the i-th level of a binary tree data structure with a depth n level, where the maximum amount ( M) is set to M, the basic remuneration amount (h) is set to h, the remuneration base (g) is set to g, the number of product purchases of each member is set to 1, and the total number of product purchases is set to S(i) 、The provisional remuneration amount is set to P(i), INT﹛﹜ is set to an operator with an integer value in the range of ﹛﹜, *The provisional remuneration amount (P(i)) is set under the condition of the cumulative operation symbol The system is P(i)=h*INT﹛S(i)/g﹜, the determined compensation amount is to satisfy M≦P(i), and k+i=n+1, where, since k The mth rank from the nth floor of the minimum value is divided into the following situations, [Situation 1]: For members of the rank of i≦n+1-m, the remuneration amount is set to the maximum amount M, [ Situation 2]: For members of the class with i>n+1-m, the calculation is based on the P(i)=h*INT﹛(2 ^n-i+1 -2)/g﹜ as the provisional remuneration The amount of compensation.

Because it is composed of such a structure, even if the class is deepened indefinitely, the bonus rate will surely converge. Therefore, it is possible to provide a program product that uses a computer to quantitatively evaluate the various changing conditions based on the converged bonus rate. In addition, a parameter called a compensation base is introduced, and the total number of product purchases is discretized by the compensation base to calculate the evaluated temporary compensation amount. In this way, since the total number of purchases of goods can be rounded down to a simplified value in stages (step-by-step), each time the calculation of the compensation amount or even the dividend rate can be calculated, the trial calculation can be simplified by changing the compensation base . In addition, members belonging to the upper class (shallow class) of the member organization limit the maximum amount of remuneration, and members belonging to the lower class (deep class) of the member organization have a corresponding number of purchases of goods. Remuneration. Therefore, although members of the upper class who receive higher compensation will be limited to the maximum amount, there is no deduction for members of the lower class who do not reach the maximum limit, that is, for members who do not introduce much the elements of. Therefore, the enthusiasm for the member to introduce is easy to maintain, and it is easy to accept because the payment conditions of the remuneration can be known in advance. In addition, for the control company, because it is easy to evaluate the dividend rate under the condition of changing the maximum amount and the compensation base at the same time, it is possible to flexibly review various compensation plans. Furthermore, since the convergent dividend rate corresponding to the changing conditions (parameters) can be obtained even if the hierarchy is deepened indefinitely, it is possible to carry out the quantitative evaluation of the compensation plan. In addition, because the basic remuneration amount is multiplied by the evaluation value obtained by discretization as the provisional remuneration amount, the remuneration amount can use the maximum amount, the remuneration base and the basic remuneration amount as the main parameters to change the bonus rate , So you can flexibly determine the compensation plan.

＜3＞Add a calculation method of remuneration forecast, which is to calculate the amount of remuneration for members who introduce sales and circulation organizations under the membership system and predict their dividend rate. The structure of the method of calculating remuneration includes: an input step, which is used to input Variation conditions for the calculation of the remuneration amount; a storage step, which records the entered variation conditions; a control step, which is based on the input of the variation conditions when the calculation instruction is input, and the compensation decision rules based on the convergent dividend rate , The calculation of the compensation amount is repeated to predict the dividend rate before the decision instruction is input; a display step is to display the predicted dividend rate; and an output step is to determine that the user is the Under the condition of the expected dividend rate, the dividend rate and the change conditions stored at the same time as the display are output as decision data, where the compensation decision rule, [1] has configuration information, which is mapped to each The allocation of members. The allocation of each member is such that each member is virtually arranged at each node of the binary tree data structure to form a filled hierarchy; [2] The calculation of the compensation amount of each member is based on the Based on the configuration information, the total number of items purchased from the total number of items purchased by members belonging to the lower classes branched out by their members, the maximum amount given, and the base of remuneration given are based on The total number of commodities purchased by the stratum is discretized by the remuneration base and evaluated to calculate the provisional remuneration amount, and the calculation of the remuneration amount is performed so that the provisional remuneration amount does not exceed the maximum amount. The provisional remuneration amount is the remuneration amount of the member belonging to the i-th level with respect to the binary tree data structure with a depth of n levels, where the maximum amount (M) is set to M and the basic remuneration amount (h) is set to h. The base of remuneration (g) is set to g, the number of products purchased by each member is set to 1, the total number of products purchased is set to S(i), and the provisional remuneration amount is set to P(i), INT﹛ ﹜ Is set to take ﹛﹜ as an integer value operator, * is set to the cumulative operation symbol, the provisional remuneration amount (P(i)) is P(i)=h*INT﹛S(i )/g﹜, the determined remuneration amount is to satisfy M≦P(i), and k+i=n+1, where, with the m-th hierarchy from the n-th layer where k is the minimum value It is divided into the following situations: [Situation 1]: For members of the stratum i≦n+1-m, the amount of remuneration is set to the maximum amount M, [Situation 2]: About the stratum i>n+1-m The member calculates the remuneration by using the remuneration as the provisional remuneration P(i)=h*INT﹛(2 ^n-i+1 -2)/g﹜.

Because it is composed of such a structure, even if the hierarchy is deepened indefinitely, the dividend rate must converge. Under the condition of changing the change conditions (parameters), the convergent dividend rate corresponding to it can be obtained, so the compensation is calculated. The quantitative assessment of painting becomes possible. In addition, a parameter called so-called remuneration base is introduced, and the total number of product purchases is discretized by the remuneration base to calculate the evaluated provisional remuneration amount. In this way, since the total number of commodities purchased can be rounded down to a simplified value of any step (step), each time the calculation of the remuneration and even the bonus rate is calculated, not only the limit of the maximum limit is introduced, but also By changing the remuneration base, fine adjustments can be made for the amount of payment by the controlling company that determines the amount of remuneration. In addition, it is easy for the member who receives compensation to adjust based on the total number of product purchases that can be expected to be linked to the amount of compensation as the base, so it is easy to be accepted. In addition, members belonging to the upper class (shallow class) of the member organization limit the maximum amount of remuneration, and members belonging to the lower class (deep class) have a remuneration amount corresponding to the total number of purchased products. Therefore, although members of the upper class who receive higher compensation will be limited to the maximum amount, there is no deduction for members of the lower class who do not reach the maximum limit, that is, for members who do not introduce much the elements of. Therefore, it is easy for members to maintain the enthusiasm for introduction, and it is easy to accept because they can know the payment conditions of the compensation in advance. In addition, for the control company, because it is easy to evaluate the dividend rate under the condition of changing the maximum amount and the compensation base at the same time, it is possible to flexibly review various compensation plans. Here, the bonus rate refers to the ratio of the bonus capital and the amount of remuneration received by the member system introduction sales and distribution organization regarding the sales of the target product (the same in this manual). This bonus capital is not limited to the sales of the product itself, but also includes the income of the member's membership bonus, which becomes the bonus capital of the organization. In addition, it is not limited to the full amount of sales, but can also be the portion after deducting necessary expenses. In addition, members belonging to the upper class (shallow class) of the member organization limit the maximum amount of remuneration, and members belonging to the lower class (deep class) have a remuneration amount corresponding to the total number of purchased products. Therefore, although members of the upper class who receive higher compensation will be limited to the maximum amount, there is no deduction for members of the lower class who do not reach the maximum limit, that is, for members who do not introduce much the elements of. Therefore, it is easy for members to maintain the enthusiasm for introduction, and it is easy to accept because they can know the payment conditions of the compensation in advance. In addition, for the control company, because it is easy to evaluate the dividend rate under the condition of changing the maximum amount and the compensation base at the same time, it is possible to flexibly review various compensation plans. Furthermore, even if the hierarchy is deepened indefinitely, the converged dividend rate corresponding to the changing conditions (parameters) can be obtained, thus making it possible to carry out the quantitative evaluation of the compensation plan. In addition, because the basic remuneration amount is multiplied by the evaluation value obtained by discretization as the provisional remuneration amount, the remuneration amount can use the maximum amount, the remuneration base and the basic remuneration amount as the main parameters to change the bonus rate , So you can flexibly determine the compensation plan. In addition, a parameter called a compensation base is introduced, and the total number of product purchases is discretized by the compensation base to calculate the evaluated temporary compensation amount. In this way, since the total number of purchased products can be rounded down to a simplified value in stages (step-by-step), the calculation of the compensation amount and even the dividend rate can be calculated every time, and the trial calculation can be simplified by changing the compensation base.

In addition, members belonging to the upper class (shallow class) of the member organization limit the maximum amount of remuneration, and members belonging to the lower class (deep class) have a remuneration amount corresponding to the total number of purchased products. Therefore, although members of the upper class who receive higher compensation will be limited to the maximum amount, there is no deduction for members of the lower class who do not reach the maximum limit, that is, for members who do not introduce much the elements of. Therefore, the enthusiasm for the member to introduce is easy to maintain, and it is easy to accept because the payment conditions of the remuneration can be known in advance. In addition, for the control company, because it is easy to evaluate the dividend rate under the condition of changing the maximum amount and the compensation base at the same time, it is possible to flexibly review various compensation plans.

Furthermore, in the above inventions, the term "output" does not only mean display or printing, but also includes the case where it is given to other computer program products or devices as data.

In addition, the so-called "input" refers to the interface "through at least changing conditions to the central processing unit (CPU)". The so-called "input unit" and "input mechanism" do not only take keyboards, mice, voice input devices, etc., to obtain interfaces with people, but also include interface circuits, interface programs, etc., and other programs or other computers. Those who get an interface between them. In the embodiment, the keyboard 10 falls into this category.

In addition, the so-called "programs" are not only those that can be directly executed by a computer, but also those that can be executed by being installed on a hard disk. In addition, it also includes compressed or encrypted status.

According to the present invention, for the compensation distribution of the member system introduction sales organization, even if the hierarchy is deepened indefinitely, the bonus rate must be converged. Therefore, the quantitative evaluation among various changing conditions can be performed stably based on the converged bonus rate. In addition, since the maximum amount of remuneration is determined according to the position (depth) of each member's organization, it is possible to review a reasonable remuneration plan that is easy for members to accept.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. (Organization of Membership Introductory Sales Organization, Data Structure of Binary Tree) Before describing each example, use FIG. 7 to describe the binary system mapped by the member introductory sales organization that predicts the compensation prediction calculation device of the present invention etc. Tree data structure. In order to calculate the compensation system, the membership-based sales organization is mapped to the binary tree data structure. In other words, each member is virtually arranged in a hierarchy composed of nodes of a binary tree branched from one node to two branches. The black dots shown in Figure 7 represent the members of each node arranged in the binary tree data structure. Figure 7 shows the sales organization that is populated by members from level 1 (ie, the root node) through level i to level n. Furthermore, the black dots at some locations are omitted.

(Deployment of the member introduction sales organization) The introduction of the member sales organization is deployed as follows. The control company sells the target products of the control company to the new members (candidates) introduced by the original members. Once sold, the member (candidate) will be paid as a new member and the remuneration will be paid to the original member for introduction according to the remuneration decision rules. From the member's perspective, to become a new member, you only need to buy the products sold by the control company through the introduction of the original member. As mentioned above, new members are virtually placed on a node of the binary tree data structure. Therefore, once the new member introduces the new member (candidate) to the controlling company, the newer member is placed on the node of the lower hierarchy branched from the node of the new member. Since the increase in membership means that some products have been sold, members who make introductions can get paid. In this way, since the members can get paid from the controlling company through the introduction, the enthusiasm for the members to increase through the introduction will be generated. The same applies to new members who join and accept the introduction, so the sales organization will be further expanded.

Further detail the deployment of the sales organization. The initial members (also called "tops") are virtually placed in the "level 1 (or "root node") of the binary tree data structure. Next, new members who receive the introduction of the original members are arranged in the lower hierarchy of the binary tree data structure, that is, they are arranged to sequentially fill in the nodes below "Layer 2". For example, the nodes of the second layer have two nodes connected to the two branches branched from the first layer. If there is only one new member to be introduced, they are configured on one of the nodes. If they are two people, they are configured. For each node. In the following, similarly, the binary tree data structure is expanded to the lower levels by branching each node of each level into two.

Of course, the introduction of new members by each member is not limited to two people. Members can introduce three or more new members. However, even in such a situation, the membership introduction sales organization maintains this "binary tree data structure" and is expanded. That is, it expands in such a way as to form a subordinate hierarchy by branching from one node into two.

(Premise 1) In the compensation forecast processed by the present invention, the membership-based introductory sales organization is mapped to this binary tree data structure, and the members are filled up to the nth level (premise 1). In the following, for the sake of convenience, for branches branched from each node, the branch on the left side or the branch on the left side is called left toward the paper surface, and the branch on the right side or the branch on the upper side is right.

The above "binary tree data structure", because it is branched into two, is particularly suitable for binary counting. The left branch is assigned a value of "0" and the right branch is assigned a value of "1", then the node configured by each member determines its position as a unique value by this binary count. For example, the binary number of 101 corresponds to the node of the second place from the left side of the third layer, such as the top (layer 1) → left (layer 2) → right (layer 3). Therefore, since the location where each member is arranged is handled by the database, it can be easily set by logical operation and the prospect is promising.

(Premise 2) This remuneration is determined based on the actual performance of the introduction during a certain period, that is, on the basis of the actual sales of the product (Premise 2). Based on this "prerequisite", the amount of remuneration that the member should receive during the target period is determined by the "remuneration determination rule" shown below, and the bonus rate is calculated.

(First embodiment: device) (Overview of the overall structure and operation of the device) FIG. 1 shows the overall structure of the reward prediction calculation device 1 according to an embodiment of the present invention. The input unit 10 is used to input to the device 1 the change conditions, calculation commands, and the like for performing the calculation of the compensation prediction. The storage unit 14 saves the "remuneration determination rule" while storing the input "variation condition".

The control unit 12 stores the variable condition in the variable condition table file in the storage unit 14 after the input of the variable condition in the input unit 10, and then, once the calculation command is input, the reward decision rule 30 of the storage unit 14 is searched and based on This remuneration determination rule 30 calculates the remuneration amount and sales amount corresponding to the variable conditions, thereby calculating the bonus rate and displaying it on the display unit 16. Simultaneously with this display, the displayed dividend rate and the underlying change conditions are stored in the calculation result file 38 in the storage unit 14.

When the user sees the displayed dividend rate, if it is not the desired dividend rate, he can change the change conditions and input the calculation command from the input unit 10 again. As a result of repeating the above operation, if the desired dividend rate is displayed, the user inputs a decision instruction from the input unit, and the control unit 12 outputs the displayed dividend rate and the underlying change condition as decision data to the storage unit The calculation result file in 14 38.

(Hardware Structure) FIG. 2 shows the hardware structure of the compensation prediction calculation device 1 in a state where the control unit 12 of FIG. 1 is implemented using a central processing unit (CPU) 20. In FIG. 2, the CPU 20 is connected to a memory 22, a display 16 as a display portion, a keyboard 10 as an input portion, a hard disk drive (HDD) 14 as a storage portion, and a DVD/CD-ROM drive 24 . Furthermore, the DVD/CD-ROM drive 24 is not limited to reading a DVD/CD-ROM, but may also be a medium that can read other external storage media. The hard disk 14 stores the reward decision rule 30, the reward prediction computer program product 32, the OS (operating system) 34, and the variable condition table file 36 input from the keyboard 10, etc., and saves the bonus rate based on the final decision The calculation result file 38. The compensation decision rule 30 and the compensation prediction computer program product 32 are installed in the storage unit 14 from the DVD or CD-ROM 26 via the DVD/CD-ROM drive 24. Even media other than these can be stored in the storage unit 14 through other interfaces without any influence. In addition, the hard disk 14 is not limited to this, as long as it can read and write other storage media connected to the CPU 20 or the like, and may be an optical disk, SSD, USB memory, or the like. In addition, although the compensation decision rule 30 is set as a part of the compensation prediction computer program product, it is not limited to this, and may be in another form.

(Variable Condition Table File) The structure of the variable condition table file 36 is shown in Table 1.

【Table 1】

(Remuneration Decision Rules) The remuneration decision rules are those purchased by members belonging to the lower strata branched from their members based on the member’s configuration information at the moment when the compensation is calculated using the parameters shown in Table 1. The total number of product purchases, the maximum amount given, and the base of remuneration given are based on the total number of products, and the total amount of product purchases for each class is converged in such a way that the calculation of the bonus rate is converged The number is discretized by the remuneration base and evaluated to calculate the provisional remuneration amount, and the provisional remuneration amount is determined not to exceed the maximum amount.

(Parameters of Remuneration Determination Rules) "Remuneration Determination Rules" have the variation conditions expressed as the variation conditions in Table 1 as parameters (variables). As described later, as a function having such parameters, a function of F(i) (1≦i≦n) is used to represent the members of the i-th layer that are virtually arranged in the hierarchy up to the n-th layer. Bonus rate.

The items (parameters) of the variable condition table in Table 1 will be described. Except for the statistical period, each parameter is an integer. Since the "number of members branched from each member" (No. 1) uses a binary tree data structure, for the left branch and the right branch, each is set to one person, for a total of two persons. "Number of goods purchased by each member" (No. 2) is regarded as one member to buy one product, and set to one. The "unilateral compensation base" (No. 3) is a parameter that determines the number of compensation units u by discretizing (quantizing) the total number of product purchases of the target member for calculation of the compensation amount as described later. The so-called "unilateral" refers to the unilateral meaning of the left and right branches branched from each member. Since the binary tree data structure is actually used, its double is the compensation used for calculation. Base g. In addition, * is the display multiplication calculation (the following is the same in this manual.). Each time the dividend rate is calculated, it is a basic parameter with great influence. The "Statistical Period" (No. 4) is a period for calculating compensation, and the compensation is calculated based on the number of goods purchased during this period. "Maximum amount" (No. 5) refers to the maximum amount of remuneration received by a member in the "statistical period". Set this to M (Japanese yen). In addition, although the unit is set to the yen, even if it is included in any other currency unit, it will not have any effect (the same in the manual). "Basic remuneration amount" (No. 6) is the remuneration amount paid for each of the above remuneration units u, and the value obtained by multiplying the basic remuneration amount and the remuneration unit becomes the provisional remuneration amount described later. Set this to h (Japanese yen). "Commodity unit price" (No. 7) is the unit price of the goods purchased by the new member, set this to A (Japanese yen). "Enrollment Fee" (No. 8) is the amount paid by the new member to the controlling company when joining the membership. Set this to b (Japanese yen). "Depth of hierarchy" (No. 9) is the title of the hierarchy number from the root node (top) when the member system introduces the sales and distribution organization in the binary tree data structure. Set this to n.

Next, the outline of the compensation decision rules is as follows. The remuneration determination rule is a condition for members to obtain remuneration, which is to divide the total number of purchased products S(i) described later by the remuneration base g (=2*a), and use its quotient as the remuneration unit u(i), The basic remuneration amount per unit of the remuneration unit is set to h yen, and the product obtained by multiplying the basic remuneration amount and the remuneration unit u(i) is calculated as the provisional remuneration amount P(i). That is to say, the total number of commodities bought S(i) is discretized (or quantified) with the base of remuneration g (=2*a) and calculated as a step. With such calculations, when the initial step cannot be reached, that is, if the total number of purchased goods S(i) is lower than the value of the remuneration base g, the remuneration amount is 0, and no remuneration is paid. The total number of product purchases S(i) is not directly proportional to the amount of compensation, but the total number of product purchases is discretized (quantified) and is discarded, so it exceeds any specific step. The rank of the person will increase the amount of compensation. This assessment is carried out at all levels. In addition, in each step, although the total number of product purchases S(i) is calculated by paying an integer multiple of the base of the remuneration g and paying a basic remuneration amount h yen in multiples, the size of this step can also be It is not an integer multiple of the compensation base g, and it can be changed at each step.

(Remuneration of members of the i-th level) Further detailed explanations in accordance with the remuneration decision rules. The data structure of the binary tree shown in Figure 7 is a hierarchical structure composed of n layers. The structure starts from the first layer, and the branch below it is the second layer of the left and right, which is also branched from the second layer. For the third layer of the left and right..., also branched from the (i-1) layer to the left and right i layer,..., also branched from the (n-1) layer to the left and right two n Floor. In this way, as shown in the variable condition table of Table 1, since the number of products purchased by each member is one, for example, the products of the lower (ie, offline) member group of the target member of the i-th layer are purchased If the total number of entries (not including the number of product purchases of the i-th target member itself) is set to S(i), then the S(i) system and the branch from the target member's node are placed in the lower position The number of introducers at the same site is the same, because it is the total number of members of the binary tree data structure starting from the i-th layer and ending at the n-th layer. 2 ^n-(i-1) -1 becomes minus 1, so it becomes like a mathematics Formula 1. Furthermore, the total number of members of the binary tree data structure starting at level 1 and ending at level n is 2 ⁰ +2 ¹ +2 ² +...+2 ^(n-1) = 2 ⁿ -1

[Mathematical Formula 1] S(i)=(2 ^n-(i-1) -1)-1(piece) =2 ^n+1-i -2(piece)

Regarding the calculation of the remuneration amount, the basic remuneration amount can be determined in advance, and the product can be obtained by taking the product of the total number of product purchases and making it proportional to (linear) the total number of product purchases. However, if a certain number is used as a threshold and the reward is paid when the threshold is exceeded, it is possible to expect an increase in the motivation for introduction before the number of thresholds is reached. In addition, if the threshold is made variable, the motivation and reward for introduction can be more finely determined. Therefore, it is evaluated by discretizing the "total number of goods purchased" by the base of remuneration g and converting it into the unit of remuneration u(i). In doing so, the unit of remuneration u(i) is as shown in (Mathematical Formula 2), and S(i)=2 ^n+1-i -2 (of (Mathematical Formula 1)) can be divided by the base of remuneration g The integer part. Here, if the remuneration base g is set to 2*a which is twice the one-sided remuneration base a, the remuneration unit u(i) becomes an integer part of S(i) divided by 2*a.

[Mathematical formula 2] 　　　　u(i)=INT﹛S(i)/g﹜ 　　　　　　=INT﹛S(i)/(2＊a)﹜ (unit)

Here, INT﹛﹜ is an operator that takes out the integer part of the value in parentheses (the same applies below). For this remuneration unit u(i), set the basic remuneration amount, and by taking their product, the remuneration amount can be determined. Thinking in this way, the amount of remuneration P(i) received by a member of the i-th level during this statistical period is shown in (Mathematical formula 3), which is the basic remuneration amount h (Japanese yen) and (Mathematical formula 2 ) The value obtained by multiplying the unit of remuneration u(i).

[Mathematical Formula 3] 　　　　P(i)=h＊u(i) (Japanese yen)

(Introduction of the maximum amount) The remuneration P(i) of a member of the i-th layer, as explained above, is obtained as shown in (Mathematical Formula 3), but due to the situation where n increases The amount of remuneration will increase exponentially, so there will be concerns that the dividend rate will diverge. Therefore, in order not to diverge, the remuneration amount P(i) is set as the provisional remuneration amount, and the maximum amount M (Japanese yen) is introduced as its upper limit amount. Since this maximum amount M is a restriction on remuneration, it is expected that the members have a sense of fairness and easy acceptance. Therefore, first, the above-mentioned provisional remuneration amount P(i) is calculated, and then, it is set to limit the maximum amount only to those who exceed the maximum amount. After the provisional compensation amount P(i) reaches the maximum limit M (the oldest compensation amount exceeds the maximum limit) as the m-th hierarchy from the nth level, m can be used to satisfy the next inequality (Mathematical formula 4) The minimum value of k is obtained. However, since i is calculated from the first layer, and k is calculated from the nth layer, there is a relationship of i+k=n+1 between i and k. After considering (Mathematical Formula 1), such as (Mathematical Formula 4) As shown, the m system obtained with k as the minimum value is determined by the three parameters M, h, a (or g), and does not depend on n. That is, m system is a fixed number that has nothing to do with n.

[Mathematical Formula 4] M≦P(i)=h＊u(i) =h＊INT﹛S(i)/g﹜ =h＊INT﹛(2 ^n+1-i -2)/g﹜ =h ＊INT﹛(2 ^k -2)/g﹜

In this way, m is obtained as the class that reaches the maximum limit M, and is divided into the following situations to calculate the compensation of the members of each class. After this is done, the remuneration of the members from the first floor to the n+1-m floor is limited to the maximum amount M yen. [Situation 1]: For members belonging to the class of i≦n+1-m, the maximum amount of remuneration is M yen. [Situation 2]: For members belonging to the class of i>n+1-m, P(i)=h*INT﹛(2 ^n+1-i -2)/g﹜ with the remuneration set as the provisional remuneration Yen. If the remuneration base g is twice that of the one-sided remuneration base a, the number of product purchases of the members of the left and right branches of the node of the target member in the binary tree data structure will be different from each a The members of the lower class on both sides are evenly arranged in the same way. In addition, it is also easy to intuitively accept the evaluation of the steps obtained by discretization. According to each of these situations, the following calculation is performed by dividing the total amount of remuneration B in the statistical period of the entire organization into situation 1 and situation 2. In the situation 1, the members are not limited to their classes, and the amount of compensation is always limited to the maximum amount M. In situation 2, the remuneration amount of a member belonging to the i-th layer is the same as the provisional remuneration amount P(i), and the remuneration amount varies according to which class.

(Total remuneration in situation 1, BM) In situation 1, as shown in Figure 8, the remuneration of members from the n+1-m level to the first level at the top of the system will always be the maximum amount of M Yen. Therefore, as shown in the following (Mathematical Formula 5), the total amount BM of the situation 1 may be multiplied by the sum of the maximum amount of M yen from the first floor to the n+1-m floor.

【Mathematical formula 5】

(Total remuneration BR in situation 2) In situation 2, the remuneration P(i) of one member of each class will not reach the maximum amount M. As shown in Figure 8, the top member of the binary tree data structure of situation 2 belongs to the (n-m+2) layer. Therefore, the remuneration amount BP (yen) of all members belonging to this member and its lower-level (downline) group members is due to the remuneration of members from each level from the (n-m+2) level to the nth level The sum of the sum (the section of each hatching in Figure 8), so think the same as Math 5 and become the first line of the equation as in the next Math 6, and according to Math 2 and Math 3 Derive the second line of Math 6 Rewrite this as n-m+2=1, because the system is n=m-1, n-i+1=m-1, i-1=i-(n-m+2), so it becomes as follows The three-line formula is shown.

【Mathematical formula 6】

As shown in Figure 8, the BP obtained by Equation 6 is related to a member belonging to the (n-m+2) level and a member belonging to the lower level branched from its member The total remuneration of the whole is composed of, and BP is accumulated by the number of members belonging to the (n-m+2) layer 2 ^n-m+1 , then the total remuneration of the (status 2) BR system is as in Equation 7 And was asked. In addition, in FIG. 8, each hatched portion of the situation 2 is displayed overlappingly, but the overlapping portion does not indicate a person having common data.

【Mathematical formula 7】 BR=BP＊2 ^n-m+1

In this way, the total remuneration of all members in the statistical period B is the total remuneration BM (Situation 1) shown in (Equation 5) and the total remuneration (Situation 2) shown in (Equation 7) The total of BR, so the total remuneration B is expressed by the following (Mathematical Formula 8).

[Mathematical Formula 8] B=BM+BR =M*(2 ^n-m+1 )+BP＊2 ^n-m+1 =(M+BP)＊2 ^n-m+1 -M

In addition, the total amount I charged by the controlling company during the statistical period in which the unit price A of the commodity is combined with the membership fee (enrollment fee) b can be expressed by the following (Mathematical Formula 9).

[Mathematical Formula 9] I=A*(2 ⁿ -1)+b*2 ^n-1 =(2＊A+b)＊2 ^n-1 -A

Therefore, since (Mathematical Formula 8) divided by (Mathematical Formula 9) is the dividend rate F(n) of the controlling company, the dividend rate F(n) can be calculated as (Mathematical Formula 10) as shown below .

[Mathematical formula 10] F(n)=B/I =﹛(M+BP)＊2 ^n-m+1 -M﹜/﹛(2＊A+b)＊2 ^n-1 -A﹜＊100( %)

(Convergence of dividend rate F(n)) The calculated dividend rate F(n) must show convergence. Assuming that n in (Mathematical formula 10) is an infinite limit value, it is as follows (Mathematical formula 11).

[Mathematical Formula 11] lim F(n)=(M+BP)/﹛2 ^{m -2} *(2＊A+b)﹜*100(%)(n→∞).

The right-hand side of (Equation 11) indicates that when n becomes infinite, it converges to a fixed value that has nothing to do with n. Therefore, as long as the bonus amount is determined according to the remuneration determination rules shown in (Situation 1) and (Situation 2), (Mathematical Formula 11) will not be dispersed, it is theoretically possible to determine the dividend rate based on this bonus amount. There will be no flaws. Therefore, since the calculated dividend rate F(n) becomes a certain value, it can be known that this is a highly reliable and extremely strong dividend index. Since there is no proposal for the determination of such a bonus amount, it is extremely powerful to express the prediction of compensation based on such compensation determination rules.

(Calculation processing) Fig. 3 shows the compensation prediction computer program product 30 in a flowchart. The flow of processing will be described in accordance with this flowchart below.

(S310) Input the change condition from the keyboard 10. The input change condition is stored in the hard disk (HDD) 14. Similarly, input the calculation instruction to start the calculation of the bonus rate.

(S312) The change condition is read from the HDD 14, and the predicted compensation and the predicted total sales are calculated in accordance with the compensation determination rule described later. Next, the forecasted dividend rate is calculated by dividing the forecasted reward by the forecasted total sales.

(S314) The calculated predicted dividend rate is displayed on the display 16. The calculated predicted dividend rate and the changing conditions of its status are recorded in the calculation result file 38 of the HDD 14.

(S316) If the predicted dividend rate is the expected value, transfer to (S318), if it is not the expected value, return to (S310), and calculate the bonus rate again according to the changing conditions and calculation instructions.

(S318) The dividend rate, which is the desired value, and the variable conditions are output to the HDD 14 and recorded.

(Second embodiment) In the first embodiment, a database of plural decision-making reward rules or computer program products is stored in a device that executes processing. But it is not limited to this. It would be more convenient if these databases could be stored in other devices and accessed through communication lines. In the second embodiment, the reward determination rule is installed in the server as an arithmetic program. In this case, since the terminal device transmits the variable condition to the server, and the server transmits the calculation result to the terminal device, it is possible to easily change the variable condition from the terminal device to obtain the bonus rate. By quantitatively grasping the difference between the dividend rate obtained in the present embodiment and the dividend rate based on actual performance, it is possible to more easily provide and manage the compensation plan according to the situation and a reasonable compensation plan.

(Processing server) FIG. 4 shows the reward prediction calculation system 160 according to this embodiment. In this embodiment, the server device (processing server) 100 and the terminal devices 102, 104, 106, etc. are connected via a network. The server device 100 records a computer program product for reward prediction calculation and a reward decision rule, and operates as a network server (cloud server). The terminal devices 102, 104, 106, etc., can access the server device 100 to utilize its reward prediction calculation function.

FIG. 6 shows the overall structure of the compensation calculation prediction server 100 according to the second embodiment of the present invention. It includes an input unit 110, a control unit 112, a storage unit 114, a display unit 116, and a communication unit 118. The input unit 110 is used to give necessary information from the user of the server to the interface of the server. It is not only the interface for obtaining communication with human beings such as keyboards, mice, and voice input devices, but also those who obtain interface with other programs or other computers, including interface circuits and interface programs. The control unit 112 is to exchange information with at least the terminal devices 102, 104, 106... or the storage unit 114 and perform control for calculating the dividend rate. The storage unit 114 stores at least a computer program product for reward prediction and stores the calculation of the dividend rate and the result thereof, and stores user registration information as needed. The display unit 116 refers to a person who displays at least the dividend rate, and for example, a display device can also be used. The communication unit 118 communicates with the outside of the server device 100 using a communication network or the like.

Although the hardware structure of the terminal devices 102, 104, 106, etc. is not shown, it is basically the same as the hardware structure of the server 100 of FIG. Furthermore, since the terminal device is a client, there is no need to save the compensation calculation prediction computer program product, etc. and perform the compensation prediction calculation, as long as at least the change condition can be sent to the server 100 and the result of the compensation prediction calculation can be received .

(Variation conditions) The variation conditions are the same as those shown in Table 1 of the first embodiment.

(Processing flow) FIG. 5 shows a flowchart of a computer program product for reward prediction recorded in the server device 100 and a flowchart of the browsing program recorded in the terminal device 102 corresponding to this.

At the beginning, the server device 100 accepts access from the terminal devices 102, 104, 106, ... via the communication section 118, and is sent by the user ID input to the terminal device to allow it to log in (not shown) ). At this time, for example, the control unit 112 may be allowed to log in after the comparison with the user identifier information pre-stored in the storage unit 114 is completed. For example, as a user identifier, "0102" is sent. At this time, in order to ensure security, a password may be used in combination.

(S520) Next, the terminal device 102 that is allowed to log in sends the change condition and the calculation instruction to the server device 100.

(S510) The server device 100 receives it, and while recording the variable conditions in the storage unit 114, activates the reward determination rule and the reward prediction computer program product stored in the storage unit 114 to proceed in the control unit 112 The compensation forecast is calculated while the bonus rate is calculated. In addition, the calculation results of the dividend rate and the variable conditions are recorded in the storage unit 114 and transmitted to the terminal device 102 via the communication unit 118.

(S522) The terminal device 102 receives this, and the browsing program displays a screen displaying the calculation result.

(S524) When the user considers the desired dividend rate, the process proceeds to (S526), and a decision instruction is sent to the server device 100 by user operation. If it is not the case, it skips to (S520) and sends other variable conditions and calculation commands to the server device 100 to make it calculate again. This process is repeated, and the server device 100 performs recalculation and sends the result to the terminal device 102.

(S512) A decision command is sent in step S526. Upon receiving the decision command, the server device 100 sends a screen displaying the decided bonus rate and the changing conditions at this time to the terminal device 102.

(S528) Once the screen of step 512 is sent, the terminal device 102 displays the received determined dividend rate and the change condition.

In this way, it is possible to predict the computer program product using the reward of the server device 100 in the terminal device 102,... [Example 1]

In the following, according to the remuneration determination rule of the present invention, an example of calculating the calculated dividend rate is shown. This method is applicable to either device or server. (Calculation Example 1) According to the compensation decision rules, the change conditions are extracted from the basic form of the compensation plan, and the bonus rate F is calculated. The changing conditions are calculated as determined in Table 2. As shown in Table 2, the remuneration base g (one-sided remuneration base a), the maximum amount M, and the basic remuneration amount h whose main parameters are extracted are shown below. g, a: The one-sided compensation base a is 3 (the compensation base g becomes 6) M: The maximum amount M is 2,400,000 yen h: The basic compensation amount h is 5,000 yen

【Table 2】

Using the conditions of M, h and a under the condition that the depth of the hierarchy is n=15 (the status of more than 32,000 members), use (Formula 4) to find the rank m that reaches the maximum limit, and satisfy (Formula 4) The minimum value m of k becomes: m=12. In this way, under the conditions of m and n, according to (Calculation 5), the total compensation BM of (Situation 1) becomes BM=M*(2 ⁵ -1) =2,400,000*15=36,000,000 (Japanese yen ). On the other hand, according to (Calculation 6), the BR of (Situation 2) becomes BP=h*2,845 =5,000*2,845=14,225,000 (yen). According to (Mathematical formula 7), the total compensation BR in (Situation 2) becomes BR=BP*2 ⁴ =14,225,000*16=227,600,000 (Japanese yen) Therefore, according to (Mathematical formula 8), it becomes the total compensation B=BM+BR =36,000,000 +227,600,000 =263,600,000 (Japanese yen). In contrast, according to (Mathematical Formula 9), the total charge I of the control company is the total charge I=A*(2 ⁿ -1)+b*2 ^n-1 =(2*A+b)*2 ^{n -1} -A = (2*10,000+3,000) *2 ¹⁴ -10,000 =376,822,000 (Japanese yen), therefore, applying (Mathematical formula 10) to find the dividend rate F(15), it becomes the dividend rate F(15)= (B/I) * 100 (%) = (263,600,000/376,822,000) * 100 (%) = 69.95%. This kind of dividend can be called a solid dividend to suppress risks.

In addition, the general bonus rate F(n), although there are cases where it may not be consistent with the actual bonus rate, as a cause of this inconsistency, it can be presumed that the deviation of the introducer of each member (how much), the regional introduction Deviations (more or less) etc. By adding further analysis to this inconsistency, it is considered that the controlling company can obtain important business information reflecting the setting method of the compensation plan. In this way, since the reward plan can be quantitatively evaluated for the dividend rate F(n), it is possible to formulate a more attractive and less risky new reward plan. [Example 2]

(Calculation Example 2: Situation where a=2) Next, the change condition is changed, and a calculation example of the situation where the unilateral reward base a is set to a=2 is displayed. As shown in Table 3, the remuneration base g (one-sided remuneration base a) with the extraction system as the main parameters, the maximum amount M, and the basic remuneration amount h are shown below. g, a: one-sided remuneration base a is 2 (reward base g becomes 4) M: maximum amount M is 2,400,000 yen h: basic remuneration amount h is 5,000 yen

【table 3】

It is the same as the calculation example 1 under the conditions other than a=2 (two branches on the left and two branches on the right). Under this condition, under the condition that the depth of the class is n=15, apply (Equation 10) to obtain the dividend rate and get the next result. In this case, after performing the same calculation as in Calculation Example 1, m=11 and the dividend rate F(15)=95.9%. The value of this dividend rate is very high as a dividend assessment, and there may be related risks for the controlling company. However, based on past trends and actual conditions, if the possibility of a lower bonus rate is considered (for example, it can be estimated that the actual bonus rate is about 50%, etc.), it can also be regarded as a rich appeal with high risk despite the risk Review of one option of the powerful compensation plan. [Example 3]

(Calculation Example 3: Situation where a is set to =4) In addition, the change condition is changed to display a calculation example of the situation where a is set to =4. This is a case where members buy more products. As shown in Table 4, the remuneration base g (the one-sided remuneration base a), the maximum limit M, and the basic remuneration amount h whose main parameters are extracted are shown below. g, a: The unilateral remuneration base a is 4 (the remuneration base g becomes 8) M: the maximum amount M is 2,400,000 yen h: the basic remuneration amount h is 5,000 yen

【Table 4】

The conditions other than a=4 (4 left branches and 4 right branches) are the same as those in calculation examples 1 and 2. In this case, after performing calculations similar to those in Calculation Examples 1 and 2, m=12 and the bonus rate F(15)=47.6%. Under this situation, the bonus rate is less than 50%, which is less risky than the implementation of profit 2, which means it will be evaluated as an unattractive reward plan.

As mentioned above, the dividend rate is calculated using (Math. 10) in Calculation Examples 1 to 3. By changing the three parameters (variation conditions) h, M, and g that determine the compensation plan in this way, it is easy to obtain a surely converging bonus rate. In addition, since the unit price of the product A, the membership fee b, etc. can be set to different dividend rates, flexible and easy prediction and evaluation of the compensation plan can be performed.

Regarding the advantages of this prediction, there are the following points. First, by making this prediction before the organization starts, considering various things such as economic conditions, it is possible to flexibly determine the compensation plan with quantitative and reliable indicators. Second, by making this prediction after the start of the organization, it can not only be used as a prediction of the dividend rate of the entire control company, but also to find out for the members by evaluating the difference between the actual value of each member and the predicted value. Active base organization and formulate the overall organization development strategy.

This is not only the convergence of this kind of compensation forecast calculation, but also the operation of the unit price of the commodity A, the membership fee b and other parameters that are easy to appeal to and perform the calculation of the compensation forecast, so it is easy to review the appeal for members Plan development. In addition, for the control company, it is possible to simply carry out the overheating in consideration of the existence, stability and cooling introduction of the operation, and review the realistic plan, so it can provide practical and versatile response to the needs of society. The calculation and prediction technology of compensation.

1‧‧‧Reward prediction calculation device 10, 110‧‧‧ input section (keyboard) 12, 112‧‧‧ Control Department 14, 114‧‧‧ storage department (hard disk) 16, 116‧‧‧ Display (display) 20‧‧‧CPU 22‧‧‧Memory 24‧‧‧DVD/CD-ROM drive 26‧‧‧DVD/CD-ROM 30‧‧‧Remuneration decision rules 32、132‧‧‧Pay prediction computer program products 34‧‧‧OS 36‧‧‧ Change condition table file 38‧‧‧Calculation result file 100‧‧‧Reward prediction calculation server (server device) 102, 104, 106 ‧‧‧ terminal device 118‧‧‧Communications Department 134‧‧‧Browse computer program products 150‧‧‧ Internet 160‧‧‧Remuneration Forecast Calculation System A‧‧‧ Unit price a‧‧‧Unilateral remuneration base B‧‧‧Total remuneration BM‧‧‧ The total compensation of the class restricted to the maximum amount (Situation 1) BR‧‧‧The total compensation of the class who has not reached the maximum limit (Situation 2) BP‧‧‧The total remuneration received by a member and all members belonging to the lower class branched from this member b‧‧‧Enrollment F(n)‧‧‧Bonus rate g‧‧‧Remuneration base h‧‧‧ basic remuneration I‧‧‧Total amount received by the control company M‧‧‧Maximum amount P(i)‧‧‧ Provisional remuneration for target members of the i-th layer S(i)‧‧‧Total number of product purchases related to the i-th target member u(i)‧‧‧The number of remuneration units for the i-tier members with a total number of S(i) purchases

[FIG. 1] It is a schematic diagram showing the overall structure of the compensation prediction calculation device according to the first embodiment of the present invention. [Figure 2] is a schematic diagram showing an example of a hardware configuration using a central processing unit (CPU) in the device of Figure 1. [Figure 3] is a flow chart of the product of the compensation forecast program. [FIG. 4] A schematic diagram showing the overall structure of a network-based compensation prediction calculation system according to a second embodiment of the present invention. [Figure 5] is a schematic diagram showing the processing flow of the server and terminal of the system of Figure 4. [Figure 6] is a schematic diagram showing the overall configuration of the server of the system of Figure 4. [Figure 7] is an explanatory diagram of the binary tree data structure of the member sales organization of the present invention. [Figure 8] is an explanatory diagram for calculating the dividend rate based on the structure of Figure 7.

1‧‧‧Reward prediction calculation device

10‧‧‧Input

12‧‧‧Control Department

14‧‧‧Storage Department

16‧‧‧Display

Claims (3)

A remuneration prediction calculation server (100), which calculates the remuneration rate for the member system that introduces the members of the sales and distribution organization and predicts its dividend rate. The remuneration prediction calculation server includes: a communication department (116), which is connected via a network (110) It is communicable with a terminal device (102, 104, 106...) and receives from the terminal device the variable conditions, calculation instructions and decision instructions for the calculation of the remuneration amount, and Send the calculated dividend rate and the dividend rate as the decision data when the decision instruction is received to the terminal device; a storage unit (114) records the received change conditions and reward decision rules, and the reward decision The rule is the convergence bonus rate; a control unit (112), which receives the calculation instruction received, responds to the received changing conditions, and based on the compensation decision rule, repeats the compensation until the decision instruction is received The amount of money is calculated to predict its dividend rate; a providing unit accepts the decision instruction received and provides the predicted dividend rate and a quantitative evaluation based on the dividend rate to the terminal device, where the compensation decision rule , [1] has configuration information, which is mapped to each node of the binary tree data structure for each member by mapping to form a filled hierarchy; [2] calculation of the compensation amount of each member, The total number of products purchased (S(i)) based on the total number of products purchased by members belonging to the lower strata branched out from its members based on the allocation information, and the maximum amount given (M ), based on the remuneration base (g) given, the total number of purchases of the goods for each class is discretized by the remuneration base and evaluated to calculate the provisional remuneration amount (P(i)), and The calculation of the remuneration amount is performed so that the provisional remuneration amount does not exceed the maximum amount. Regarding the remuneration amount of members belonging to the i-th level of the binary tree data structure with a depth of n levels, the maximum amount ( M) is set to M, the basic remuneration amount (h) is set to h, the remuneration base (g) is set to g, the number of product purchases of each member is set to 1, and the total number of product purchases is set to S(i) , The provisional remuneration is set to P(i), INT{} is set to the operator taking the number in {} as an integer value, * is set to the cumulative operation symbol, the provisional remuneration (P(i)) The system is P(i)=h*INT{S(i)/g}, and the determined compensation amount is to satisfy M≦P(i), and k+i=n+1, where, since k The m-th hierarchy starting from the n-th floor of the minimum value is divided into the following situations: [Situation 1]: For members of the hierarchy of i≦n+1-m, the remuneration amount is set to the maximum amount M, [ Situation 2]: For members of the stratum i>n+1-m, the calculation is based on P(i)=h*INT{(2 ^n-i+1 -2)/g} as the provisional compensation The amount of compensation. A computer program product for remuneration prediction calculation, which is used to calculate the amount of remuneration for a member system that introduces a sales and distribution organization to predict its dividend rate. The computer program product for remuneration prediction system causes a computer to act as an organization: , Is to input the change conditions, calculation instructions and decision instructions used for the calculation of the amount of compensation; a storage institution is to record the entered change conditions and compensation decision rules, the compensation decision rules are the convergent dividend rate; When the calculation instruction is input, based on the input change conditions, based on the compensation decision rule, the compensation amount is calculated repeatedly to predict the dividend rate before the decision instruction is input; Display of the predicted dividend rate; and an output mechanism that outputs the dividend rate and the variable conditions stored at the same time as the decision data once the decision instruction is entered as decision data, where the remuneration is determined The rule, [1] has configuration information, which is mapped to the configuration of each member. The configuration of each member is to make each member virtually configure each node of the binary tree data structure to form a filled hierarchy; [2] The calculation of each member’s remuneration amount is based on the total number of products purchased based on the total number of products purchased by members belonging to the lower strata branched from their members based on the allocation information (S( i)), based on the maximum amount given (M) and the base of remuneration given (g), the total number of purchases of the goods for each stratum is calculated by discretizing and evaluating the base of remuneration The provisional compensation amount (P(i)) is calculated, and the calculation of the compensation amount is carried out so that the provisional compensation amount does not exceed the maximum amount; the data structure of the binary tree of the hierarchy with a depth of n belongs to the i-th level The remuneration amount of members, where the maximum amount (M) is set to M, the basic remuneration amount (h) is set to h, the remuneration base (g) is set to g, and the number of goods purchased by each member is set to 1, the The total number of product purchases is set to S(i), the provisional remuneration is set to P(i), INT{} is set to the operator taking the number in {} as an integer value, and * is set to the state of the cumulative operation symbol Next, the provisional remuneration amount (P(i)) is P(i)=h*INT{S(i)/g}, and the determined remuneration amount is such that M≦P(i) and k+ i=n+1, where the m-th hierarchy from the nth level where k is the smallest value is divided into the following situations: [Situation 1]: Members of the hierarchy with i≦n+1-m, The amount of remuneration is set to the maximum amount M, [Situation 2]: For members of the class of i>n+1-m, P(i)=h*INT{(2 ^{n -i+1} -2)/g} to calculate the amount of remuneration. A compensation forecast calculation method that calculates the compensation rate for a member system that introduces a member of a sales and distribution organization and predicts its dividend rate, where the compensation forecast calculation method includes: an input step, which is to input change conditions for the calculation of the compensation amount ; A storage step, which records the entered change conditions; a control step, which is based on the input change conditions, and based on the entered change conditions, the compensation decision rules based on the convergent dividend rate, until the decision instruction is entered The calculation of the amount of compensation is repeated to predict its dividend rate; a display step is to display the predicted dividend rate; and an output step is to use the bonus rate and the The change conditions stored at the same time as the display are output as decision data, where the compensation decision rule, [1] has configuration information, the configuration information is mapped to the configuration of each member, and the configuration of each member is to make each member Virtually arranged at each node of the binary tree data structure to form a filled hierarchy; [2] The calculation of the remuneration of each member is based on the placement information and branched from its members belonging to the lower level Based on the total number of commodities purchased by the members of the tier, the total number of commodities purchased (S(i)), the maximum amount given (M), and the base of remuneration given (g), based on The total number of purchases of the commodity is discretized by the compensation base and evaluated to calculate the provisional compensation amount (P(i)), and the calculation of the compensation amount is based on the provisional compensation amount not exceeding the maximum limit. Proceed; about the remuneration of members of the i-th level with a binary tree data structure with a depth of n levels, where the maximum amount (M) is set to M, the basic remuneration amount (h) is set to h, and the remuneration base (g) Set to g, the number of product purchases of each member is set to 1, the total number of product purchases is set to S(i), the provisional remuneration is set to P(i), and INT{} is set to take The number in {} is an integer-valued operator, * is set to the cumulative operation symbol, and the provisional remuneration (P(i)) is P(i)=h*INT{S(i)/g} , The determined remuneration amount is to satisfy M≦P(i), and k+i=n+1, where, with the m-th hierarchy from the n-th layer where k is the minimum value, it is divided into the following Status, [Situation 1]: For members of the stratum i≦n+1-m, the amount of compensation is set to the maximum amount M, [Situation 2]: For members of the stratum i>n+1-m, The remuneration amount is calculated as P(i)=h*INT{(2 ^n-i+1 -2)/g} of the provisional remuneration amount.

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