JP5019992B2 - Alternative preparation support system, alternative preparation support server device, and alternative preparation support program - Google Patents

Description

  The present invention relates to an alternative preparation support system, an alternative preparation support server device, and an alternative preparation support program that are suitable for use when, for example, replacing a component built in a sold device. Specifically, when replacing a mounted component, it is possible to accurately determine its economic efficiency.

  For example, when a part built in a sold device is consumed or damaged, it is necessary to replace it. Such replacement parts can be replaced with parts based on a new structure and configuration (design philosophy) by so-called 4M (Man, Machine, Material, Method) changes and VA (Value Analysis) measures. May be considered. In that case, a statistical method called a Weibull distribution has been conventionally used to predict the quality performance of a new part.

  However, particularly in a unit formed by combining a plurality of circuit parts called electrical mechanical parts, the function and durability of the parts vary greatly depending on the usage environment in the market. For this reason, the method such as the conventional Weibull distribution cannot perform quality prediction with sufficient reliability. If a part that has been used for inadequate quality prediction is required to be replaced again immediately after replacement, the loss caused by the increase in the cost of the product and the work cost for replacement will increase. There was a fear.

On the other hand, conventionally, the defect of a new product is predicted based on the defect record of the product in the market (for example, refer to Patent Document 1). In addition, the superiority or inferiority of components is also evaluated using a functionality evaluation method (see, for example, Non-Patent Document 1).
JP 2004-46636 A Rikiya Imai, Hiroaki Mizoguchi, Atsushi Hozo, Kenichi Iwama, “Functional Evaluation Method for Stepping Motors” RICOH TECHNICAL REPORT (No.29, 2003) P.74-78, Ricoh Research and Development Headquarters, December 1, 2003 Published in Japan (http://www.ricoh.co.jp/about/business_overview/report/29/pdf/B2905.pdf)

  That is, in the conventional technique, it is impossible to predict a change in the replacement rate due to the replacement of parts, and thus it is impossible to clearly determine the occurrence of loss. In addition, the loss of parts replacement involves the replacement work and the price of the replacement parts themselves. Even if the replacement rate is high, the parts price is low, or the replacement price is low but the parts price is high. In general, it is impossible to grasp the amount of loss. Therefore, the problem to be solved by the present invention is to predict the change of the replacement rate accompanying the replacement of the parts so that the generated loss can be accurately grasped.

In order to solve the above-described problems and achieve the object of the present invention, the present invention is an alternative preparation support system for providing replacement preparation support information necessary when preparing for replacement of a part, and at least a part market information database exchange rate information is accumulated in the current component of the current component and has an input means for inputting an evaluation result of each functionality in an alternative component, information accumulated in the information database Based on the exchange rate information in the market and the evaluation results of the functionality of the current part and the alternative part input to the input means, the exchange rate of the current part is C, and the functional evaluation of the alternative part The SN value of the current part is A, the SN value of the functional evaluation of the current part is B, and the calculation of the replacement part Cx = C × 10 ^{((A−B) / 10)} is used . Calculation means to predict exchange rate It is an alternative preparation support system characterized by comprising.

In the alternative preparation support system according to the present invention , the information accumulated in the information database includes information on the work cost associated with the replacement of the current part, and the exchange rate is added to the information on the work cost accumulated in the information database. Calculated by multiplying the loss cost obtained by multiplication by the lifetime cost value obtained by adding the price of the current part accumulated in the information database, and multiplying the work cost information accumulated in the information database by the predicted exchange rate And means for calculating a predicted lifetime cost value obtained by adding the price of the substitute part stored in the information database to the predicted loss cost.

The alternative preparation support system according to the present invention includes means for displaying a list of lifetime cost values and predicted lifetime cost values.

The alternative preparation support system according to the present invention is characterized by comprising means for displaying information on a part indicating the lowest value among the lifetime cost value and the predicted lifetime cost value.

The alternative preparation support system according to the present invention is characterized in that an information database and a terminal device for inputting replacement rate information in the parts market to the information database are connected via a network.

Further, in order to achieve the object of the present invention, the present invention provides an alternative preparation support server device that provides replacement preparation support information necessary when preparing for replacement of a component, and at least a replacement rate of the component in the market The information database in which the information is stored is connected to the input means for inputting the evaluation results of the functionality of the current part and the alternative part. Of the information stored in the information database, the information in the current part market Based on the exchange rate information and the evaluation results of the functionality of the current part and the alternative part input to the input means, the exchange rate of the current part is C, and the SN value of the functional evaluation of the alternative part is A. Then, assuming the SN value of the functional evaluation of the current part as B, the replacement rate of the alternative part is predicted using an arithmetic expression with a predicted replacement rate Cx = C × 10 ^{((A−B) / 10).} This is equipped with computing means An alternative preparation support server apparatus according to claim.

  The information stored in the information database includes information on the work cost associated with the replacement of the current part, and the loss obtained by multiplying the work cost information stored in the information database by the replacement rate stored in the information database A means for calculating a lifetime cost value obtained by adding the price of the current part to the cost, and an alternative stored in the information database to the estimated loss cost obtained by multiplying the work cost information stored in the information database by the predicted exchange rate Means for calculating a predicted lifetime cost value obtained by adding the prices of the parts.

The alternative preparation support server device according to the present invention includes means for displaying a list of lifetime cost values and predicted lifetime cost values.

The alternative preparation support server device according to the present invention is characterized by comprising means for displaying information on a part that indicates the lowest value among the lifetime cost value and the predicted lifetime cost value.

The alternative preparation support server device according to the present invention is characterized in that an information database and a terminal device for inputting replacement rate information in the parts market into the information database are connected via a network.

Furthermore, in order to achieve the object of the present invention, the present invention uses an exchange rate information in the part of the market which is accumulated in the information database, to provide an alternative preparation assistance information required for alternative preparation of the component An alternative preparation support program that realizes the function by a computer, the information on the exchange rate in the market for the current parts among the information stored in the information database, and the current parts and alternative parts input from any input means based on the respective functions of the evaluation result in the exchange rate of the current component C, and SN value of the functional evaluation of alternative components a, the SN value of the functional evaluation of the current component as a B, the predicted exchange by performing an operation of a rate ^{Cx = C × 10 ((a} -B) / 10), alternative preparation support program characterized by implementing a calculation function to predict the exchange rate of the alternative parts computer A.

In the alternative preparation support program according to the present invention , the information stored in the information database includes information on the work cost associated with the replacement of the current part, and the exchange rate is added to the information on the work cost stored in the information database. A function to calculate the lifetime cost value of the current part by adding the price of the current part accumulated in the information database to the loss cost obtained by multiplication, and the predicted exchange rate to the work cost information accumulated in the information database The computer realizes a function of calculating a predicted lifetime cost value of an alternative part obtained by adding the price of the alternative part stored in the information database to the estimated loss cost obtained by multiplication.

In the alternative preparation support program according to the present invention , a function of displaying a list of lifetime cost values and predicted lifetime cost values is realized by a computer.

The alternative preparation support program according to the present invention is characterized in that a computer displays a function of displaying information on a component that indicates the lowest value among the lifetime cost value and the predicted lifetime cost value.

  According to the alternative preparation support system, the alternative preparation support server device, and the alternative preparation support program of the present invention, it is possible to accurately grasp the occurrence of loss in individual parts by predicting the change in the replacement rate accompanying the replacement of parts. be able to. As a result, it is possible to accurately select alternative parts and minimize the loss that occurs.

  Hereinafter, the present invention will be described with reference to the drawings. FIG. 1 shows an embodiment of an overall configuration of a system to which an alternative preparation support system, an alternative preparation support server device, and an alternative preparation support program according to the present invention are applied. A functional block diagram is shown.

  In FIG. 1, information such as market trends related to devices collected by a device sales company is input to the sales company terminal device 1 and collected in the market information database 3 through an information network such as the Internet 2. In addition, information such as part specifications is input to the manufacturing company terminal device 4 installed in the manufacturing company of the parts built in the equipment, and is collected in the parts information database 5 through an information network such as the Internet 2.

  In addition, the structure which collects the information input into these sales company terminal devices 1 and manufacturing company terminal devices 4 in the market information database 3 and the parts information database 5 through information networks, such as the internet 2, is the above-mentioned patent document 1 etc. In this case, a detailed description is omitted. The market information database 3 and the parts information database 5 form an information database as a whole.

  Furthermore, information on the S / N value of the functionality evaluation is generated in the evaluation organization that performs the functionality evaluation as described in Non-Patent Document 1. Here, functionality evaluation refers to the basic function of the system (hereinafter referred to as basic function) as the input / output relationship of the system, and how the relationship is affected by error factors. Therefore, the stability of the system against the error factor is evaluated.

That is, when the input signal is M and the output is y, and the system relationship is expressed by a proportional expression,
y = βM + ε
The following relational expression is obtained. Here, ε is the result of variation in the proportionality constant β due to the influence of the nonlinear component and the error factor.

The functionality is obtained as an S / N ratio η that is a ratio of β ² , which is the magnitude of signal influence, and σ ² , which is the magnitude of influence of error factors including nonlinear components.
η = 10log (β ² / σ ² )
This is a measure of functionality. It can be evaluated that the larger the value of the S / N ratio η, the more functional the system without variation.

  In this way, the S / N value information of the functionality evaluation generated in the evaluation organization is input to the evaluation organization terminal device 6 installed in the evaluation organization, and is input to the component information database 5 through the information network such as the Internet 2. Collected. The market information database 3 collects information for each device, and the parts information database 5 collects information for each product or part built in the device.

  An alternative preparation support server device 7 is provided for such an information collection system. In this alternative preparation support server device 7, first, the data 71 of the number of sales of the target device and the data 72 of the number of times of replacement of the parts built in the device are extracted from the market information database 3 and sent to the replacement rate calculation means 73. Supplied. In this replacement rate calculating means 73, the replacement rate data 72 is calculated by dividing the data 72 of the number of parts replacements by the data 71 of the number of units sold.

Next, the S / N value data 74 (value B) of the functionality evaluation of the current part mounted on the target device from the parts information database 5 and the S of the functionality evaluation of the alternative part being studied. / N value data 75 (value A) is extracted and supplied to the predicted exchange rate calculation means 76. In the predicted replacement rate calculation means 76, the predicted replacement rate Cx is Cx = C × 10 ^{((A−B) / 10)} (Equation 1)
It is calculated by the following equation.

  Further, the price data 77 of the current part mounted on the current target device and the price data 78 of the alternative part under consideration are extracted from the part information database 5. Then, the calculated replacement rate C and predicted replacement rate Cx, the price of the current part, and the price of the alternative part are supplied to the display output unit 8, and a display such as a graph corresponding to the replacement rate and the price is output. Is done.

  Further, FIG. 2 shows a flow of work until a graph is displayed. In FIG. 2, when alternative parts such as a 4M changed part, a new structural part, and a VA countermeasure part are manufactured (step S1), the parts are measured by functional evaluation for these alternative parts (step S2). Further, information such as the market part replacement rate of the advanced model or similar model is collected as market information (step S3). Then, the server apparatus calculates the predicted exchange rate (step S4).

  In this server apparatus, first, information on the target model is called from the market information in step S3, information on the target part is called, and the evaluation results A and B by the functional evaluation in step S2 are input (step S41). Next, the predicted replacement rate Cx is calculated on the basis of the replacement rate C of the target part called from the market information in step S3 and the evaluation results A and B using the arithmetic expression of (Formula 1) described above. (Step S42).

  The replacement rate C and the predicted replacement rate Cx of these target parts are supplied to the display output means (step S5). In this display output means, a result display graph is formed together with the price of the current part of the market information, the price of the substitute part, and the like (step S51). Then, for example, a result display graph as shown in the figure is displayed or output (step S52). In this graph, the vertical axis represents the component unit price, which is the price of the component, and the horizontal axis represents the component replacement rate.

  FIG. 3 shows the flow of processing of the terminal devices 1, 4, 6 and the alternative preparation support server device 7 from data input to exchange rate prediction. In FIG. 3, first, when access to the alternative preparation support server device 7 is started in the terminal devices 1, 4, and 6 (step S11), a password input screen as shown in FIG. 4A is displayed (step S12). . Then, the input password is transmitted and received by the alternative preparation support server device 7 (step S21).

  In the alternative preparation support server device 7, it is determined whether or not the password received in step S21 is OK (step S22). If it is not OK (No), access is denied (step S23). When this access is denied, a rejection message is transmitted and a rejection screen is displayed on the terminal devices 1, 4 and 6 (step S13). Thereby, this process is complete | finished (step S14).

  If the password is OK in step S22 of the alternative preparation support server device 7 (Yes), the input selection screen is transmitted (step S24). Then, the terminal devices 1, 4, and 6 receive and display the input selection screen as shown in FIG. 4B (step S15). Note that the input selection screen shown in FIG. 4B is for the evaluation organization terminal device 6, and a screen for inputting the evaluation result of the alternative part and the supplier name is displayed together with the model name and the part number. Also, at the bottom of the screen, a list of evaluation results, supplier names, and unit prices of equivalent substitute parts is displayed.

  Further, data input is performed in the terminal devices 1, 4, and 6 (step S16), and it is determined whether or not the input is completed (step S17). If the input has not been completed (No), the process returns to step S16. In addition, when the input is completed in step S17 (Yes), the input data is transmitted to the alternative preparation support server device 7 (step S18), and this process is ended (step S19).

  Then, the alternative preparation support server device 7 receives data from the terminal devices 1, 4, and 6 (step S25), and performs the above-described component replacement rate calculation (step S26). Further, the result display graph as shown in FIG. 4C is displayed and printed (step S27), and the process is terminated (step S28). In the result display graph shown in FIG. 4C, for the current part A and the alternative parts B and C, the vertical axis represents the component unit price and the horizontal axis represents the part replacement rate. In the lower part of the display, the exchange rates of the displayed parts A, B and C are indicated by numerical values.

  As described above, according to the alternative preparation support system, the alternative preparation support server device, and the alternative preparation support program of the present invention, it is possible to accurately determine the occurrence of loss by predicting the change in the replacement rate accompanying the replacement of parts. I can grasp it. Thereby, the loss which generate | occur | produces can be minimized. That is, for example, by looking at the result display graph as shown in FIG. 4C described above, it is possible to easily select a substitute part with less loss.

  By the way, the above-mentioned replacement rate is related to the generation of technical fees and expenses (service costs) such as business trips for the workers for replacement of parts, which results in loss. Therefore, in the above-described system, it is possible to calculate the lifetime cost of alternative parts including such loss.

  That is, FIG. 5 shows a functional block diagram of an embodiment of an overall configuration of a system to which an alternative preparation support system, an alternative preparation support server device, and an alternative preparation support program including lifetime cost calculation according to the present invention are applied. In the following description of FIG. 5, the same reference numerals are given to portions common to FIG. 1, and detailed description thereof is omitted.

  In FIG. 5, in the alternative preparation support server device 7, for example, an average cost (service cost) such as a technical fee and a business trip of a worker for exchanging the current parts mounted on the current device as a target from the market information database 3 Data 81 can be retrieved. Further, the exchange rate C calculated by the exchange rate calculating unit 73 and the predicted exchange rate Cx calculated by the predicted exchange rate calculating unit 76 are obtained.

  Therefore, the service cost data 81 is supplied to the multiplication means 82 and 83, and the exchange rate C and the predicted exchange rate Cx are supplied to the multiplication means 82 and 83, respectively. As a result, the multiplication means 82 and 83 calculate the loss cost when the respective parts are replaced. These loss costs are supplied to the adding means 84 and 85, respectively, and the current part price data 77 and the substitute part price data 78 are added, whereby the lifetime cost L, Lx of each part is added. Is calculated.

  Further, FIG. 6 shows a flow of work until a graph is displayed. In the following description of FIG. 6, steps S1 to S4 and steps S41 and S42 are the same as those in FIG. In step S42, when the replacement rate C of the target part and the predicted replacement rate Cx based on the evaluation results A and B are calculated, the process proceeds to the calculation of the lifetime cost.

  Here, for example, the input of the target model and the input of the target part number are performed from the input terminal device 9 provided in the display output means 8, the movement / working time of the service person is called from the market information database 3, and the target model / The market exchange rate is called from the part number (step S43). Then, using these data, an arithmetic expression for calculating the loss cost and lifetime cost is extracted (step S44).

In step S44, first, in order to calculate the service cost,
Service cost = (average movement time of service person + working time) × hourly wage + partial market price calculation formula is taken out. Next, to calculate the loss cost,
Loss cost = service cost x market exchange rate (C or Cx)
Is obtained. Furthermore, for the calculation of lifetime costs,
The calculation formula of lifetime cost = loss cost + part purchase unit price is taken out.

  Then, the loss and lifetime cost are calculated based on these extracted arithmetic expressions (step S45). Further, based on the calculated loss and lifetime cost, for example, side-by-side display output is performed in order of decreasing lifetime cost (step S53). Alternatively, a display output of how to use the parts with the lowest lifetime cost is performed (step S54). In this manner, the lifetime cost of the substitute part is calculated and a display using the lifetime cost is created.

  Therefore, the user mounts the substitute part with the lowest lifetime cost displayed in step S54 on the product (step S6). Alternatively, it is possible to extract a technical problem for reducing lifetime costs (step S7).

  In this way, according to the embodiment disclosed in FIG. 5, the lifetime cost of the substitute part can be calculated. Thereby, it is possible to accurately grasp the economic loss, and using this, it is possible to easily select a substitute part, extract a problem in development of the substitute part, and the like. Furthermore, the occurrence of loss can be accurately grasped, and the generated loss can be minimized.

  Thus, according to the alternative preparation support system, the alternative preparation support server device, and the alternative preparation support program of the present invention, the information accumulated in the parts information database and the market information database and the evaluation results of the functionality of the current and alternative parts are included. Based on this, the replacement rate of alternative parts is predicted. As a result, it is possible to accurately grasp the occurrence of loss in component replacement and minimize the generated loss.

  The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the claims.

It is a functional block diagram of an embodiment of a system to which an alternative preparation support system, an alternative preparation support server device, and an alternative preparation support program according to the present invention are applied. It is a figure for explanation of the operation. It is a figure for explanation of the processing. It is a figure for the description. It is a functional block diagram of another embodiment of a system to which an alternative preparation support system, an alternative preparation support server device, and an alternative preparation support program according to the present invention are applied. It is a figure for explanation of the operation.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Sales company terminal device, 2 ... Internet, 3 ... Market information database, 4 ... Manufacturing company terminal device, 5 ... Parts information database, 6 ... Evaluation organization terminal device, 7 ... Alternative preparation support server device, 71 ... Data: 72 ... Data of the number of replacements, 73 ... Replacement rate calculation means, 74 ... Data of S / N value of functionality evaluation of current parts, 75 ... Data of S / N value of functionality evaluation of changed parts, 76 ... Predicted replacement rate calculating means, 77... Data of current part price, 78... Price data of changed part, 8.

Claims (14)

An alternative preparation support system for providing replacement preparation support information necessary for preparing replacement of parts,
An information database in which at least the exchange rate information in the market of the parts is accumulated;
And an input means for inputting an evaluation result of each functionality in component replacement current component及beauty cost,
Of the information stored in the information database, information on the current exchange rate of the part in the market, and the evaluation result of the functionality of the current part and the alternative part input to the input means. Based on the above, the replacement rate of the current part is C, the SN value of the functional evaluation of the alternative part is A, and the SN value of the functional evaluation of the current part is B.
Predicted exchange rate Cx = C × 10 ^{((A−B) / 10)}
An alternative preparation support system , comprising: an arithmetic unit that predicts a replacement rate of the alternative parts using an arithmetic expression . Information stored in the information database includes information on work costs associated with replacement of the current parts,
Means for calculating a lifetime cost value obtained by adding the price of the current part stored in the information database to the loss cost obtained by multiplying the exchange rate by the information on the work cost stored in the information database;
Means for calculating a predicted lifetime cost value obtained by adding the price of a substitute part stored in the information database to a predicted loss cost obtained by multiplying the predicted replacement rate by the information on the work cost stored in the information database; The alternative preparation support system according to claim 1, further comprising: The alternative preparation support system according to claim 2, further comprising means for displaying a list of the lifetime cost value and the predicted lifetime cost value. The alternative preparation support system according to claim 2, further comprising means for displaying information on the part indicating the lowest value among the lifetime cost value and the predicted lifetime cost value. The information database;
The substitute preparation support system according to any one of claims 1 to 4 , wherein a terminal device that inputs exchange rate information in the market of the parts to the information database is connected via a network. It is an alternative preparation support server device that provides alternative preparation support information necessary when preparing for replacement of parts,
An information database in which at least the exchange rate information in the market of the parts is accumulated;
Input means for inputting the respective functions of the evaluation results of parts replacement current component及beauty allowance is connected,
Based on the current exchange rate information of the part in the information stored in the information database, and the evaluation result of the functionality of the current part and the alternative part input to the input means , C is the replacement rate of the current part, A is the SN value of the functional evaluation of the alternative part, and B is the SN value of the functional evaluation of the current part.
Predicted exchange rate Cx = C × 10 ^{((A−B) / 10)}
An alternative preparation support server device , comprising: an arithmetic unit that predicts a replacement rate of the alternative parts using an arithmetic expression as follows . Information stored in the information database includes information on work costs associated with replacement of the current parts,
Means for calculating a lifetime cost value obtained by adding the price of the current part to the loss cost obtained by multiplying the information on the work cost stored in the information database by the exchange rate stored in the information database;
Means for calculating a predicted lifetime cost value obtained by adding the price of a substitute part stored in the information database to a predicted loss cost obtained by multiplying the predicted replacement rate by the information on the work cost stored in the information database; The alternative preparation support server device according to claim 6, further comprising: The alternative preparation support server device according to claim 7, further comprising means for displaying a list of the lifetime cost value and the predicted lifetime cost value. The substitute preparation support server device according to claim 7, further comprising means for displaying information on the component indicating the lowest value among the lifetime cost value and the predicted lifetime cost value. The information database;
The substitute preparation support server device according to any one of claims 6 to 9 , wherein a terminal device that inputs exchange rate information on the parts market to the information database is connected via a network. . Using an exchange rate information in the part of the market which is accumulated in the information database, an alternate preparation support program for realizing on a computer a function to provide an alternative preparation assistance information required for alternative preparation of the component,
And exchange rate information in the current of the part of the market of information by the information stored in the database, the evaluation results of each functionality in components of the current component及beauty ALTERNATIVES inputted from any input means Based on the above, the replacement rate of the current part is C, the SN value of the functional evaluation of the alternative part is A, the SN value of the functional evaluation of the current part is B,
Predicted exchange rate Cx = C × 10 ^{((A−B) / 10)}
An alternative preparation support program that realizes an arithmetic function for predicting a replacement rate of the alternative parts by the computer by performing the calculation . Information stored in the information database includes information on work costs associated with replacement of the current parts,
The lifetime cost value of the current part is calculated by adding the price of the current part stored in the information database to the loss cost obtained by multiplying the exchange rate by the work cost information stored in the information database. Function and
The predicted lifetime cost value of the alternative part obtained by adding the price of the alternative part stored in the information database to the predicted loss cost obtained by multiplying the information of the work cost stored in the information database by the predicted exchange rate The substitute preparation support program according to claim 11 , wherein the computer implements a function of calculating The alternative preparation support program according to claim 12 , wherein the computer realizes a function of displaying a list of the lifetime cost value and the predicted lifetime cost value. The alternative preparation support program according to claim 12 , wherein the computer realizes a function of displaying information on the component indicating the lowest value among the lifetime cost value and the predicted lifetime cost value.

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