WO2014174558A1

WO2014174558A1 - Supplier search device and supplier search program

Info

Publication number: WO2014174558A1
Application number: PCT/JP2013/061712
Authority: WO
Inventors: 哲朗足立; 西川　博子; 田口　謙太郎
Original assignee: 株式会社日立製作所
Priority date: 2013-04-22
Filing date: 2013-04-22
Publication date: 2014-10-30

Abstract

Provided is a method of providing assistance for selecting appropriate suppliers by precisely and rapidly extracting suppliers desired by a buyer when searching for suppliers for the purpose of selecting suppliers. The method comprises executing: a process of storing evaluation items for evaluating the suppliers and weights of the evaluation items; a process of storing information for evaluating the suppliers; a process of storing the information for converting values for the evaluation items to score points; a process of accepting search conditions for selecting suppliers; a process of recomputing the weights of the stored evaluation values from the accepted search conditions; a process of computing a supplier evaluation score for each of a plurality of suppliers from the weights of the evaluation items, the information for evaluating that supplier, the information stored in the storage unit, and the information for converting the values for the evaluation items into score points; a process of outputting a supplier search result which is extracted on the basis of the computed results; and a process of determining whether to change the weights of the evaluation items from the content of an operation upon the outputted search result.

Description

Supplier search device and supplier search program

The present invention relates to a technology for extracting a supplier from supplier information accumulated in a database when a company (buyer) who orders a part for manufacturing or assembling a product selects a supplier to conduct a transaction.

選定 Selection and securing of appropriate local suppliers (suppliers) that contribute to global procurement expansion and procurement cost reduction are required. Conventionally, when selecting a supplier for a new transaction, the buyer determines the soundness of the management of the supplier based on the credit information of the supplier and determines whether or not the transaction is possible. Furthermore, from the viewpoint of manufacturing and design departments, in addition to credit information, whether it is possible to provide parts with quality that satisfies the required specifications, whether it can be provided at a reasonable price compared to competitors, according to the required delivery date In general, it is generally evaluated from the viewpoint of QCD (Quality / Cost / Delivery) such as whether or not delivery is possible, and a final supplier is determined. In the prior art, in order to make a selection based on such supplier evaluations, evaluation values for capitalized items (items such as capital, sales, and representatives) on the database (if it is capital) 10 billion yen and 100 billion yen for sales) are collected and stored for each supplier, and the buyer can extract a supplier candidate by searching a database using an arbitrary evaluation item as a key.

There is a method of preliminarily accumulating supplier evaluation information from related departments such as the design department and quality assurance department on the database, and searching for the evaluation information to extract suppliers. According to Patent Document 1, in addition to general corporate information such as capital and sales, the results of supplier nonconformity assessments by related departments such as the design department, material department and quality assurance department are stored on the database. Has disclosed that it is possible to support selection of suppliers by browsing such information.

JP 2002-342626 A

When selecting a supplier by buyer, it is necessary to select a supplier based on one of the evaluation items related to QCD or a comprehensive evaluation, in addition to the credit information for determining the soundness of management. The required specifications mainly include the design department, such as the shape of the part, the material to be used, the function that the part can realize, the durability and weather resistance under the assumed usage environment, the feeling of use, the texture and texture, the distortion and distortion, etc. Is the request from the quality assurance department, etc., and the reasonable price mainly refers to whether parts are manufactured with appropriate manufacturing methods and processes, and whether the supplier is engaged in activities for steady cost reduction. This is a request from the procurement department or design department. Whether or not delivery is performed as requested is due mainly to a request from the manufacturing department, such as whether parts are supplied in line with the production plan of the company. Comprehensive judgment is an action made by the consensus of all departments related to the parts to be procured in addition to these departments. The buyer searches for a candidate supplier who will satisfy these requirements from past transaction experience by the buyer himself / herself from the database in which the above-mentioned information is accumulated, and also uses the various evaluation items accumulated in the database. In addition, it is required to extract suppliers accurately and promptly.

In the method of Patent Literature 1, it is difficult to extract a supplier according to a request to be changed according to the buyer's situation because the supplier is uniformly evaluated regardless of the evaluation item that the supplier particularly emphasizes. was there.

In order to solve the above problems, for example, the configuration described in the claims is adopted. In this application, there are a plurality of means for solving the above problems. To give an example, a process for storing an evaluation item for evaluating a supplier and a weight of the evaluation item, and information for evaluating the supplier are stored. Processing for storing information for scoring the value of the evaluation item, processing for receiving a search condition for supplier selection, and recalculating the weight of the stored evaluation item from the received search condition A plurality of scores for evaluating the supplier from the processing, the weight of the evaluation item, the information for evaluating the supplier, the information stored in the storage unit, and the information for scoring the value of the evaluation item Processing for calculating the supplier, processing for outputting the search result of the supplier extracted based on the calculated result, and operation contents for the output search result And a process for judging whether to change the weight of the evaluation items.

In supplier search for supplier selection, supplier candidates can be extracted accurately and quickly, and appropriate supplier selection becomes possible.

It is a figure which shows the structural example of a supplier evaluation and search apparatus. It is a figure which shows the hardware structural example of a supplier evaluation and search apparatus. It is a figure which shows the example of a processing flow. It is a figure which shows the structural example of an evaluation item initial information and master information registration screen. It is a figure which shows the structural example of a supplier information storage part. It is a figure which shows the structural example of a QCD evaluation information storage part. It is a figure which shows the structural example of a point information initial information and master information registration screen. It is a figure which shows the structural example of a point information storage part. It is a figure which shows the structural example of a score master information storage part. It is a figure which shows the structural example of a supplier search condition input screen. It is a figure which shows the evaluation / search processing flow. It is a figure which shows the structural example of a supplier information storage part. It is a figure which shows the structural example of an evaluation item weight storage part. It is a figure which shows the structural example of a supplier score calculation result storage part. It is a figure which shows the structural example of a supplier total score calculation result storage part. It is a figure which shows the structural example of an output screen. It is a figure which shows the structural example of a company master. It is a figure which shows the structural example of a detailed information display screen. It is a figure which shows the structural example structural example of a point information storage part.

Hereinafter, examples will be described with reference to the drawings. In this embodiment, when a supplier selects a supplier for a new transaction, the supplier is searched from a database in which supplier information is stored, and in addition to basic company information, one of the evaluation items related to QCD, or a comprehensive An example of an apparatus and a method for extracting a supplier that meets a buyer's request by performing an evaluation will be described.

FIG. 1 is a diagram illustrating a configuration example of a supplier search apparatus 100 according to an embodiment of the present invention. The supplier search apparatus 100 according to the present embodiment includes a control unit 10, a calculation unit 20, a storage unit 30, and a communication unit 40. Information necessary for processing of the calculation unit 20 is performed using the communication unit 40 as an interface. Can be obtained via the network 50. The network 50 is a communication network managed by a user organization such as a LAN (Local Area Network). However, the present invention is not limited to this, and the network 50 may be a public communication network such as the Internet, or a communication network partially using a general public line such as a WAN (Wide Area Network) or a VPN (Virtual Private Network).

The control unit 10 receives the value of the weight information for the evaluation item of the supplier transmitted by the buyer via the network 50 by the evaluation item weight reception processing unit 110, and the received information is the evaluation item weight storage unit 310 of the storage unit 30. Stored in Further, definition information for evaluating the quality of the evaluation item transmitted by the buyer via the network 50 is received by the QCD evaluation information reception processing unit 120, and the received information is stored in the QCD evaluation information storage unit 320 of the storage unit 30. Stored. Further, the correction information value for adjusting the display order of the search result transmitted by the buyer via the network 50 is received by the additional information reception processing unit 130, and the received information is the additional information storage unit 330 of the storage unit 30. Stored in Further, information defining the display order correction method based on the search result operation transmitted by the buyer via the network 50 is received by the score master information reception processing unit 140 and stored in the score master information storage unit 340. . Also, supplier information used in arithmetic processing to be described later is received by the supplier information reception processing unit 150 via the network 50 and stored in the supplier information storage unit 350 of the storage unit 30. Further, the search condition reception processing unit 160 receives supplier search conditions by the buyer, requests the calculation unit 20 to perform calculation processing described later, and the processing result is stored in the evaluation item weight storage unit 310 of the storage unit 30. The information stored in the evaluation item weight storage unit 310 of the storage unit 30 requests the calculation unit 20 to perform a calculation process described later, and the processing result is stored in the supplier score calculation result storage unit 360 of the storage unit 30. Furthermore, the information stored in the supplier score calculation result storage unit 360 of the storage unit 30 requests the calculation unit 20 to perform a calculation process described later, and the processing result is stored in the supplier total score calculation result storage unit 370. The information stored in the supplier total score calculation result storage unit 370 constitutes an output screen in the transaction candidate supplier output processing unit 170 of the control unit 10 and is presented to the buyer.

FIG. 2 is a diagram illustrating a hardware configuration example of the supplier search device 100. In this embodiment, the supplier search device 100 is a device such as a PC (personal computer), a workstation, a server device, a smartphone, or a tablet terminal. The supplier search device 100 includes an input device 201, an output device 202, an external storage device 203, an arithmetic device 204, a main storage device 205, a communication device 206, and a bus 207 that connects the devices to each other. Have. The input device 201 is a device for reading information such as a keyboard, a mouse, a touch pen, other pointing devices, a barcode reader, or a device for receiving voice input. The output device 202 is a device that performs display, such as a display. The external storage device 203 is a nonvolatile storage device such as a hard disk device or a flash memory. The computing device 204 is a computing device such as a CPU (Central Processing Unit). The main storage device 205 is a memory device such as a RAM (Random Access Memory). The communication device 206 is a wireless communication device that performs wireless communication via an antenna, or a wired communication device that performs wired communication via a network cable.

The storage unit 30 of the supplier search device 100 is realized by the main storage device 205 or the external storage device 203 of the supplier search device 100. Further, the control unit 10 and the calculation unit 20 of the supplier search device 100 are realized by a program that causes the calculation device 204 of the supplier search device 100 to perform processing. This program is stored in the main storage device 205 or the external storage device 203, loaded onto the main storage device 205 for execution, and executed by the arithmetic device 204. The communication unit 40 of the supplier search device 100 is realized by the communication device 206 of the supplier search device 100. The orderer reports the search condition to the supplier search device 100 when evaluating and searching for the supplier.

FIG. 3 is a diagram illustrating an example of a processing flow in the control unit 10 and the calculation unit 20 of the supplier search device 100. In each process of the calculation unit 20, the search condition reception processing unit 160 receives a request to start supplier evaluation / search processing information from the buyer, configures the supplier search condition input screen 600 shown in FIG. The display is started (step S100).

First, in step S100, the control unit 10 displays the supplier search condition input screen 600 on the output device 202 and accepts an operation from the buyer. Here, an instruction to create / change master data necessary for calculation in the calculation unit 20 described later from the buyer is a master information adjustment instruction 650? ? If accepted, it is determined that there is creation / change of the master data, and the processing after step S300 is requested. If an instruction for creating / changing data necessary for computation in the computation unit 20 is not received from the master information adjustment instruction 650, it is determined that there is no creation / change of master data, and the process of step S210 is requested (step S210). S200). Here, at the time of the first search, since it is necessary to capture initial data for processing of the calculation unit 20, the process proceeds to step S300 regardless of the operation of the buyer.

Next, when the control unit 10 receives a master data creation / change instruction from the master information adjustment instruction 650 in step S200, the control unit 10 displays the evaluation item initial information / master information registration screen 400 on the output device 202 (step S300). .

Next, the control unit 10 accepts whether or not the weight information of the evaluation item is created or changed, and if there is a change, the process proceeds to step S311, and if there is no change, the process proceeds to step 320 (step S310).

FIG. 4 is a diagram showing a configuration example of the evaluation item initial information / master information registration screen 400 displayed in step S300. The evaluation item initial information / master information registration screen 400 includes at least an evaluation item input area 411 for receiving an input of an evaluation item as a search condition, which will be described later, and an evaluation item weight input area 412 for receiving input of weight information of the evaluation item. , A category information input area 414 for receiving category information of evaluation items, and a registration execution instruction input area 413 for confirming input contents and receiving storage processing in the evaluation item weight storage unit 310. The evaluation item initial information / master information registration screen 400 includes at least an evaluation item input area 421 for receiving input of evaluation items, a threshold information input area 422 for receiving input of threshold information for values of evaluation items, and score information. A score input area 423 for receiving input, and a registration execution instruction input area 424 for confirming input contents and receiving storage processing in the QCD evaluation information storage unit 320 are provided.

In step S310, when it is determined by the buyer that the evaluation item weight information is created or changed, values input to various items of the evaluation item initial information / master information registration screen 400 are received, and the evaluation item weight storage unit It stores in 310 (step S311).

In step S311, the control unit 10 receives at least the evaluation item, the weight of the evaluation item, and the category information of the evaluation item in the evaluation item weight initial value reception processing unit 110. Specifically, the value input to the evaluation item input area 411 received on the evaluation item initial information / master information registration screen 400 is input to the supplier name 311 of the evaluation item weight storage unit 310 and the evaluation item weight input area 412. The values input in the weight information storage unit 312 of the supplier information storage unit 310 and the values input in the category information input area 414 are stored in the category information storage unit 313 of the evaluation item weight storage unit 310. Here, in this processing step, the weight of the evaluation item first input by the buyer is an initial value. In this embodiment, the initial value is equal to the weight of each evaluation item so that the sum of the weights of all evaluation items stored in the weight information storage unit 312 of the evaluation item weight storage unit 310 is “100”. Has been allocated. When the buyer changes the weight of a specific item in this step, the values of other evaluation items are equally distributed so that the sum of the values of all the evaluation items after the change becomes “100”. There may be processing.

FIG. 5 is a diagram showing a configuration example of a table stored in the evaluation item weight storage unit 310 through the input process by the evaluation item initial information / master information registration screen 400. The evaluation item weight storage unit 310 stores at least an evaluation item storage unit 311, a weight information storage unit 312, and a category 313. The evaluation item storage unit 311 is a column in which an evaluation item name is stored. The weight information storage unit 312 is a column in which weight information for evaluation items is stored. The category 313 is a column in which the classification name (category) of the evaluation item is stored. For example, according to the first record (second line in the table) of this table, the evaluation item “Sales” has a weight of “12.5” and a category of “basic information”. That is, it is understood that “sales” representing the evaluation item name is stored in the supplier name 311, the weight “12.5” of the evaluation item is stored in the weight information storage unit 312, and the category “basic information” is stored in the category 313. Here, the category stored in the category 313 may be information related to quality, which is important for procurement work, information related to cost, information related to delivery date, in addition to credit information (basic information). It may be. Moreover, it is not limited to the above-mentioned four items, and there may be a plurality of other information such as information on the technical capabilities of the supplier.

Next, the control unit 10 accepts whether or not the QCD evaluation information has been created or changed. If there is a change, the process proceeds to step S321, and if there is no change, the process proceeds to step 400 (step S320).

Here, when it is determined by the buyer that the QCD evaluation information has been created or changed, values input to various items on the evaluation item information / master information registration screen 400 are received and stored in the QCD evaluation information storage unit 320. (Step S321).

In step S321, the control unit 10 receives at least the evaluation item, the threshold value of the evaluation item, and the score information in the QCD evaluation definition information reception processing unit 120. Specifically, the value input to the evaluation item input area 421 received on the evaluation item initial information / master information registration screen 400 is input to the evaluation item storage section 321 of the QCD evaluation information storage section 320 and to the threshold information input area 422. The value input to the threshold information storage unit 322 of the QCD evaluation information storage unit 320 and the value input to the score input area 423 are stored in the score information storage unit 323 of the QCD evaluation information storage unit 320.

In the columns arranged below the evaluation item input area 411, the evaluation item weight input area 412, and the category information input area 41 4, the evaluation item weight storage unit 310 of the storage unit 30 is used in order to avoid creating duplicate evaluation items. May be received and displayed in the relevant field. In the columns arranged below the evaluation item input area 421, the threshold information input area 422, and the score input area 423, the data of the determination result information storage unit 320 of the storage unit 30 is stored in order to avoid creating duplicate evaluation items. You may display in the reception and the said column.

FIG. 6 is a diagram showing a configuration example of a table stored in the QCD evaluation information storage unit 320 through the input process by the evaluation item initial information / master information registration screen 400. The QCD evaluation information storage unit 320 stores at least an evaluation item storage unit 321, a threshold information storage unit 322, and a score information storage unit 323. The evaluation item storage unit 321 is a column in which an evaluation item name is stored. The threshold information storage unit 322 is a column in which threshold information for the value of the evaluation item is stored. The score information storage unit 323 is a column in which score information for the evaluation value of the evaluation item is stored. For example, according to the first record (second line in the table) of this table, the evaluation item “sales” has a threshold value of “100 to (or more)”, and the score at that time is “10”. . That is, “Sales” representing the evaluation item name is stored in the evaluation item storage unit 321, the threshold value “100 to” of the evaluation item is stored in the threshold information storage unit 322, and the score “10” is stored in the score information storage unit 323. I understand that. Similarly, according to the second record of the table (third line in the table), the threshold value of the evaluation item “Sales” is “50 or more and 99 or less”, and the score at that time is “5”. Recognize. In other words, “sales” representing the evaluation item name is stored in the evaluation item storage unit 321, the threshold value “50 to 99” of the evaluation item is stored in the threshold information storage unit 322, and the score “5” is stored in the score information storage unit 323. I understand that. Further, according to the third record (fourth line in the table) of this table, it is understood that the threshold value of the evaluation item “Sales” is “Less than 49”, and the score at that time is “3”. That is, “sales” representing the evaluation item name is stored in the evaluation item storage unit 321, the threshold value “˜49” of the evaluation item is stored in the threshold information storage unit 322, and the score “3” is stored in the score information storage unit 323. I understand that. In this way, when three levels of thresholds are set for the same evaluation item “sales”, “100 to 100” in order from the upper level of the threshold information input area 422 of the evaluation item initial information / master information registration screen 400 shown in FIG. "50 to 99" and "-49" can be received, and "10", "5", and "3" can be received in order from the top of the score input area 423. According to this example, the threshold value is divided into three stages, but it may be divided into two stages or may be four or more stages. In the case of four or more stages, the input areas of the threshold information input area 422 and the score input area 423 of the evaluation item initial information / master information registration screen 400 are increased.

Next, the control unit 10 causes the output device 202 to display the point information initial information / master information registration screen 500 (step S400).

FIG. 7 is a diagram showing a configuration example of the added point information initial information / master information registration screen 500 displayed in S400. The added point information initial information / master information registration screen 500 includes at least a supplier name input region 511 for receiving an input of a supplier name, an added point information input region 512 for receiving an input of added point information for correcting the order of search results, A registration execution instruction input area 513 for confirming input contents and accepting storage processing in the added point information storage unit 330. In addition, the point information initial information / master information registration screen 500 includes at least an operation content selection region 521 that accepts selection of the buyer's operation content, a point information input region 522 that accepts input of point information for the buyer's operation, and input content And a registration execution instruction input area 523 for accepting storage processing in the added point master information storage unit 340.

Next, the control unit 10 accepts whether or not the point information is created or changed. If there is a change, the process proceeds to step S411, and if there is no change, the process proceeds to step 420 (step S410).

Here, when it is determined by the buyer that the added point information has been created or changed, values input in various items of the added point information initial information / master information registration screen 500 are received and stored in the added point information storage unit 330 ( Step S411).

In step S411, the control unit 10 receives at least the supplier name and the point information as the point information by the point information reception processing unit 130. Specifically, the control unit 10 adds the value input to the supplier name storage unit 511 received on the point information initial information / master information registration screen 500 to the supplier name 331 of the point information storage unit 330, as a point information input area. The value input in 512 is stored in the added point 332. Here, in this processing step, the point information first input by the buyer is an initial value. According to this example, it can be seen that the initial value of the added points of each supplier is “0”.

FIG. 8 is a diagram showing a configuration example of a table stored in the added point information storage unit 330 through the input process by the added point information initial information / master information registration screen 500. The added point information storage unit 330 stores at least a supplier name 331 and added points 332. The supplier name 331 is a column in which the supplier name to be evaluated / searched is stored. The added point 332 is a column in which added point information for correcting the search order is stored. For example, according to the first record (second row in the table) of this table, it can be seen that the supplier name “SuppA” has a score of “0”. That is, it is understood that “SuppA” representing the supplier name is stored in the supplier name 331 and the added point “0” is added in the added point 332.

Next, the control unit 10 accepts whether or not the point information master has been changed on the point information initial information / master information registration screen 500. If there is a change, the control unit 10 proceeds to step S421, and if there is no change, proceeds to step 500 (step S420). ).

Here, when it is determined by the buyer that the added point master information has been created or changed, values input in various items of the added point information initial information / master information registration screen 500 are received and stored in the added point master information storage unit 340. (Step S421).

In step S421, the control unit 10 receives at least the operation name and the point information for the operation in the point master information reception processing unit 140. Specifically, the control unit 10 adds the operation content selected in the operation content selection area 521 received on the additional information initial information / master information registration screen 500 to the operation name 341 of the additional master information storage unit 340. The value input to the information input area 522 is stored in the score 342 of the score master information storage unit 340. Here, the operation content selected in the operation content selection area 521 is, for example, “top priority browsing” if the operation is the first selected by the user on the search result output screen by the transaction candidate supplier output processing unit 170. These are operations such as “longest stay time” in which the user stays for the longest time and “highest frequency browsing” in which the browsing frequency is the highest. Such operation information is given, and the operation name selection area 521 displays a list of these operation names. In order to avoid the input of redundant suppliers, the data arranged in the lower part of the supplier name input area 511 and the added point information input area 512 accepts the data of the search condition storage unit 330 of the storage unit 30 and displays it in the relevant fields. You may let them. In order to avoid the creation of duplicate operation information, the data arranged in the lower part of the operation content selection area 521 and the added point information input area 522 accepts data in the added point master information storage unit 340 of the storage unit 30, and It may be displayed.

FIG. 9 is a diagram illustrating a configuration example of a table stored in the added point master information storage unit 340 through an input process using the added point information initial information / master information registration screen 500. The point master information storage unit 340 stores at least an operation name 341 and a point 342. The operation name 341 is a column for storing the operation details of the buyer. The added point 342 is a column in which added point information for correcting the search order is stored. For example, according to the first record (second row in the table) of this table, it can be seen that the operation name “highest priority viewing” has a score of “3”. That is, it can be understood that “top priority viewing” indicating the operation content is stored in the operation name 341 and the added point “3” is added 342.

Returning to FIG. 3, the explanation will be continued. If it is determined in step S200 that an instruction for creating / changing data necessary for computation in the computation unit 20 is not received from the master information adjustment instruction 650, it is determined that there is no creation / change of master data, and the process proceeds to step S210. First, the control unit 10 acquires information stored in the evaluation item weight storage unit 310 (step S210).

Next, the control unit 10 acquires information stored in the QCD evaluation information storage unit 320 (step S220). Next, the control part 10 acquires the information stored in the point information storage part 330 (step S230). Next, the control part 10 acquires the information stored in the point master information storage part 340 (step 240).

The values acquired in step S210, step S220, step S230, and step S240 are values used in past searches or values obtained by updating data records stored in the respective storage units from the search results. get. In other words, each time a buyer performs a search in the present invention, the values of the evaluation item weight storage unit 310 and the added point information storage unit 330 are updated, and the updated information is used for the next search, thereby repeating the search constantly. Mechanical learning is performed so that the result corresponds to the buyer's request.

Next, the control unit 10 receives a search condition from the buyer and performs an evaluation / search process (step S500). Here, a process performed by the calculation unit 20 for the buyer to evaluate and search for a supplier will be described in detail.

FIG. 11 is an example of a processing flow for evaluating and searching for suppliers. First, the control unit 10 receives information related to a supplier at the supplier information reception processing unit 150 and stores the information in the supplier information storage unit 350 (step S501).

FIG. 12 is a diagram illustrating a configuration example of a table stored in the supplier information storage unit 350 received by the supplier information reception processing unit 150. The supplier information storage unit 350 stores at least a supplier name 351, an evaluation item name 352, and a value 353. The supplier name 351 is a column in which the supplier name is stored. The evaluation item name 352 is a column in which the name of the evaluation item is stored. A value 353 is a column in which the value of the evaluation item is stored. For example, according to the first record (second line in the table) of this table, it can be seen that the value of the evaluation item “sales” of the supplier name “SuppA” is “110”. That is, it is understood that “SuppA” indicating the supplier name is stored in the supplier name 351, the evaluation item “sales” is stored in the evaluation item name 352, and the “value” of the evaluation item “sales” is stored in the value 353.

In the present embodiment, the supplier information storage unit 350 receives given data as input, but it is also possible to cooperate with an external system, for example. For example, among the evaluation item names 352 shown in the supplier information storage unit 350, the delivery date compliance rate can acquire the transaction results between companies by using information of EDI (Electronic Data Interchange). In other words, if the information on the delivery results from the supplier (= arrival date to the buyer) is stored for the required delivery date from the buyer given to the order information on EDI, the required delivery date and delivery results for all orders are stored. It is possible to calculate and acquire the due date compliance rate from the ratio of the number of orders that match. As for the inspection pass rate, if there is a number of acceptance inspection failures on the EDI, the inspection pass rate can be calculated and acquired from the relationship of the number of inspection failures with respect to the total order quantity.

Next, the computing unit 20 configures the supplier search condition input screen 600 shown in FIG. 10 and displays it on the output device 202 to accept input data (step S502).

FIG. 10 shows a configuration example of the supplier search condition input screen 600. In step S502, input of search conditions from the buyer is accepted through the supplier search condition input screen 600. Although details are omitted, before this screen, a search is performed from all suppliers to narrow down the population of suppliers that can supply these parts and materials according to the name and type of parts and materials that the buyer wants to procure and the region.

The basic information condition input area 610 is a column for displaying evaluation item names that buyers place importance on as search conditions. For the evaluation items displayed in the basic information condition input area 610, for example, the information of the category 313 in the evaluation item weight storage unit 310 is referred to, and only the records in which “company information” is stored in the category 313 are displayed. May be. According to this example, in order to assist the input of the search condition by the buyer, a list of corresponding evaluation items is displayed from the records stored in the evaluation item storage unit 311 of the evaluation item weight storage unit 310 in advance, and by selection You can also accept input. Here, there may be one or more search items that can be selected. The basic information condition input area 610 may accept input of search items as an input method such as a text box.

The QCD condition input area 620 is a column for displaying evaluation item names related to QCD that buyers place importance on as search conditions. For the evaluation items displayed in the QCD condition input area 620, for example, information on the category 313 in the evaluation item weight storage unit 310 is referred to, and any of “quality”, “cost”, and “delivery date” is stored in the category 313. You can focus on records only. According to this example, in order to assist the input of the search condition by the buyer, the evaluation in which “quality”, “cost”, and “delivery date” are stored in the category 313 from the record stored in the evaluation item weight storage unit 310 in advance. As the items, a list of “inspection pass rate”, “delivery rate compliance interest rate”, and “average price” can be displayed, and input by selection can be accepted. One or more search items may be selected. The QCD condition input area 620 may accept an input of a search item as an input method such as a text box. The search execution 690 is a confirmation button for confirming the input information received on the supplier search condition input screen 600 and instructing to move to the next step.

The information received in step S502 may be basic information or search conditions other than QCD evaluation items. That is, as is done in a general database search, it is also possible to extract a record with a condition that falls within a specified range for a search item. According to the input screen example of FIG. 10, for example, when “sales” is selected as a search condition, an input of an evaluation item value of, for example, 100 million yen or more may be accepted as a specific search condition. At that time, the received evaluation item, the value, and the value 353 stored in the supplier information storage unit 350 are collated, and only the supplier that satisfies the condition that the value 353 satisfies 100 million yen or more is extracted. It is good also as a processing target.

Next, according to the search conditions received on the supplier search condition input screen 600, the evaluation item weight temporary placement processing unit 210 of the calculation unit 20 performs a value update process of the weight information storage unit 312 of the evaluation item weight storage unit 310. The table item value weight temporary placement process is performed (step S503). Specifically, weight information storage is performed for a record stored in the evaluation item weight storage unit 310 that matches the evaluation item selected in the basic information condition input area 610 or the QCD condition input area 620 of the supplier search condition input screen 600. Processing for adding the value of the unit 312 is performed. At the same time, a process for decreasing the value of an item not selected is performed. According to this example, “sales” is displayed in the basic information condition input area 610 of the supplier search condition input screen 600, and “inspection pass rate” and “delivery date compliance ratio” are displayed in the QCD condition input area 620 of the supplier search condition input screen 600. You can see that it is selected. Next, “1” is added to the values in the weight information storage unit 312 of “sales”, “inspection pass rate”, and “delivery date compliance rate” stored in the evaluation item weight storage unit 310. At the same time, other items are equally subtracted so that the sum of the values in the weight information storage unit 312 of all items becomes the same value as in the initial state (= 100). FIG. 13 shows a record example of the evaluation item weight storage unit 310 calculated based on this processing result. The configuration example of FIG. 13 is the same as that of FIG.

Next, the information in the evaluation item weight storage unit 310 and the information stored in the supplier information storage unit 350 shown in FIG. 13 obtained as a result of the processing in step S503 by the supplier score calculation processing unit 220 of the calculation unit 20 are shown. The supplier score calculation process is performed from the QCD evaluation information storage unit 320 and the result is stored in the supplier score calculation result storage unit 360 (step S504). Specifically, for each supplier, the evaluation item name 352 stored in the supplier information storage unit 350 and the evaluation item storage unit 321 stored in the QCD evaluation information storage unit 320 are collated. Next, the matched evaluation item is collated with the value 353 of the supplier information storage unit 350 and the value of the threshold information storage unit 322 of the QCD evaluation information storage unit 320, and stored in the score information storage unit 323 of the corresponding condition. Get the number of points. The value and the weight stored in the weight information storage unit 312 of the evaluation item stored in the evaluation item weight storage unit 310 are integrated, and the score of each evaluation item is calculated. Further, the same calculation is performed for all the evaluation items, and a value obtained by summing those scores for each supplier is set as the supplier's score. The calculation result is stored in the score 362 of the supplier score calculation result storage unit 360. According to this example, it is understood from the supplier information storage unit 350 that “Sales” of “SuppA” is “110”. Here, looking at the record “sales” in the QCD evaluation information storage unit 320, it can be seen that the score when “sales” exceeds “100” is “10”. On the other hand, it can be seen that the value of the weight information storage unit 312 for “sales” stored in the evaluation item storage unit 311 of the evaluation item weight storage unit 310 in FIG. 13 is “13.5”. Here, since the score of “Sales” of “SupA” can be calculated by “score” × “weight”, “10” × “13.5” is obtained. When such calculation is performed for all items, (10 × 13.5) + (10 × 11.9) + (5 × 11.9) + (5 × 11.9) + (3 × 11.9) ) + (10 × 13.5) + (3 × 13.5) + (5 × 11.9), and the value is “643.7”. The above processing is performed for all suppliers.

FIG. 14 is a configuration example of the supplier score calculation result storage unit 360 that stores the value obtained in step S504. The supplier score calculation result storage unit 360 stores at least a supplier name 361 and a score 362. The supplier name 361 is a column in which the name of the supplier is stored. The score 362 is a column in which a supplier evaluation score is stored. For example, according to the first record (second row in the table) of this table, it can be seen that the supplier name “SuppA” has a score of “643.7”. That is, it is understood that “SuppA” indicating the supplier name is stored in the supplier name 361 and the score “643.7” is stored in the score 362.

Next, the information of the added point information storage unit 330 is added to the calculated supplier score, the display order of search results is determined, and output processing is performed (step S505). Specifically, a total score is calculated by adding the score 362 of the score information storage unit 330 to the value of the score 362 of the supplier score calculation result storage unit 360 that stores the score obtained in step S504, and calculating the supplier total score. The result is stored in the total score 373 of the result storage unit 370, and sort processing is performed in the order of the total score. According to this example, a value obtained by adding a score “643.7” of “SupA” in the supplier score calculation result storage unit 360 to a score “0” of “SupA” in the score information storage unit 330 is calculated as a supplier total score calculation. The result is stored in the total score column 373 of the result storage unit 370. Similarly, a value obtained by adding the score “540” of “SupA” to the score “540” of “SuppB” is stored in the total score 373 of the supplier total score calculation result storage unit 370. The above process is repeated for all suppliers. Then, the total score is sorted in descending order and ranked as the supplier with the highest recommended ranking from the highest total score. Further, the transaction candidate supplier output processing unit 170 performs output processing in descending order of rank.

FIG. 15 is a configuration example of the supplier total score calculation result storage unit 370 that stores the value obtained in step S505. The score master information storage unit 370 stores at least a rank 371, a supplier name 372, and a total score 373. The rank 371 is a column in which rank information for displaying search results is stored. The supplier name 372 is a column in which the name of the supplier is stored. The total score 373 is a column in which the value obtained in step S505 is stored. For example, according to the first record (second row in the table) of this table, it can be seen that the score of the supplier name “SuppA” of rank “1” is “643.7”. That is, it can be seen that “1” indicating the ranking is stored in the rank 371, “SuppA” indicating the supplier name is stored in the supplier name 372, and the total score “643.7” is stored in the total score 373.

FIG. 16 shows a configuration example of an output screen 700 output by the transaction candidate supplier output processing unit 170. The output screen 700 includes at least a rank 701 for displaying the order of search results, a 702 for displaying a supplier name, a 703 for outputting a supplier's URL (Uniform Resource Locator), and an operation information receiving area for receiving an operation for closing the screen. 704. The transaction candidate supplier output processing unit 170 reads the data in the supplier total score calculation result storage unit 370 and displays the data for each supplier having a high rank 371 (low value). The URL information of the supplier is displayed in the URL 703, and a link to a site on the external network is possible via the communication unit 40. The URL information displayed in the URL 703 can be acquired by receiving the company master 380 during the input process in the supplier information reception processing unit 150. Although not shown, information indicating the contents of the site may be added together with the display of the URL 703.

FIG. 17 is a configuration example of the company master 380. The company master 380 stores at least a supplier name 381 and a URL 382. The supplier name 381 is a column in which the name of the supplier is stored. URL 382 is a column in which address information of a supplier's website on the Internet is stored. For example, according to the first record (second row in the table) of this table, it can be seen that the URL of “SupA” is “http://supa.com”. That is, it is understood that “SuppA” indicating the supplier name is stored in the supplier name 381 and “http://supa.com” indicating the URL is stored in the URL 382.

Further, on the output screen 700, by selecting the supplier 702, more detailed supplier information can be acquired. FIG. 18 is a configuration example of a screen that displays detailed information of a supplier. The detailed information display screen 800 includes at least an evaluation item axis 801, a graph display area 802, and a supplier name display area 803. The evaluation item axis 801 is an example using the category 313 of the evaluation item weight storage unit 310 as an axis. In the graph display area 802, when the score is calculated by the supplier score calculation processing unit 220, the score is calculated for each category 313 of the evaluation item weight storage unit 310 and plotted, so that the buyer can visually confirm the evaluation result. . According to this example, as the detailed information of SupA, it is easily understood that the basic information is 80, the quality is 140, the delivery date is 40, and the cost is around 40, and the quality of SupA is visually superior. Can be judged.

Next, in the search result validity determination processing unit 230 of the calculation unit 20, with respect to the search result output from the transaction candidate supplier output processing unit 170, the supplier displayed in the search result corresponds to the result of the buyer's request. A process of determining the validity of whether or not is performed (step S506). Specifically, when the buyer's URL is selected from the suppliers output by the transaction candidate supplier output processing unit 170, the buyer is interested in the suppliers output as the search results. It is assumed that the search result is valid as there are suppliers. If it is determined that the search result is valid, the weight value in the evaluation item weight storage unit 310 is replaced with the value calculated in step S503, and the process proceeds to the next process (step S509). On the other hand, when no supplier URL is selected from among the suppliers output as the search result and the operation processing to the operation information reception area 704 of the output screen 700 is received, the buyer is notified of the supplier output as the search result. It is assumed that there are no interested suppliers, and the search results are inappropriate. If it is determined that the result is inappropriate, a process of returning the weight of the evaluation item weight storage unit 310 processed in step S503 to the state before the start of search is performed (step S508). And it returns to step S502 again. In this example, when the URLs of one or more suppliers are selected from the supplier list displayed in FIG. 16, this list is determined to be valid as a search result, and the process proceeds to the next process. The above is an example of determination of validity. To make the search result valid, the URLs of two or more suppliers may be selected, and the total time spent at the selected URLs is constant. It may be a case where the standard is exceeded. Further, the validity of the search result may be input from the user on the output screen.

Next, in the rank correction processing unit 240 based on the operation information of the calculation unit 20, the search results output by the transaction candidate supplier output processing unit 170 are in the order of the search results according to the buyer's request at the next search. The process for performing the correction is performed (step S510). Specifically, the operation name of the buyer for the search result output by the transaction candidate supplier output processing unit 170 is collated with the information stored in the operation name 341 of the added master information storage unit 340, and the operation name 341 is obtained. The value stored in the score 342 of the score master information storage unit 340 is added to the score 332 of the score information storage unit 330 for the supplier that has been operated. In this example, it is assumed that, for example, the URL of “SupJ” is first selected from the supplier list displayed in FIG. In this case, according to FIG. 9, it is determined that the highest priority browsing process has been performed, and “3” is added to the added point 332 of “SupJ” in the added point information storage unit 330. For example, it is assumed that the URL “SupZ” is selected and the buyer stays at the URL of SupZ for the longest time. In this case, according to FIG. 9, it is determined that the longest time stay has been made, and “5” is added to the added point 332 of “SupZ” in the added point information storage unit 330. Similarly, a point addition process is performed in the supplier score calculation process for a supplier for which an operation pattern in the point master information storage unit 340 has been performed.

FIG. 19 shows a record example of the search condition storage unit 330 calculated based on this processing result. The configuration example of FIG. 19 is the same as that of FIG.

The value of the point information storage unit 330 calculated by this processing is reflected in the supplier extracted in the evaluation / search result and the recommended order displayed on the output screen at the next buyer search, and according to the buyer's request. It is possible to extract suppliers accurately and quickly, and to select appropriate suppliers.

The value of the added point information storage unit 330 calculated by this processing is reflected in the supplier extracted by the evaluation / search result and the recommended order displayed on the output screen at the next buyer search, and by repeating this, It is possible to extract suppliers accurately and promptly according to the demands of customers and to select appropriate suppliers.

Note that the value of the evaluation item weight storage unit 310 and the value of the score information storage unit 330 need not be one. For example, you may store the value of a score information storage part for every kind of parts and materials which a buyer wants to procure. Further, the value of the score information storage unit may be stored separately depending on whether the purpose of the search is extraction of a new supplier or substitution of an existing supplier. In these cases, at the start of the search, the type of part or material that the buyer wants to procure, the extraction of a new supplier, or the replacement of an existing supplier is specified, and the value of the evaluation item weight storage unit 310 or the additional information storage unit 330 The value may be stored in association with the specified item.

In addition, this invention is not limited to the above-mentioned Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

In addition, each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card or an SD card DVD.

Also, it shows what is considered necessary for explanation of control lines and information lines, and does not necessarily show all control lines and information lines on the product. Actually, it may be considered that almost all the components are connected to each other.

10: control unit, 20: calculation unit, 30: storage unit, 40: communication unit, 50: network,
60: External storage device, 110: Evaluation item weight reception processing unit, 120: QCD evaluation information reception processing unit, 130: Additional point information reception processing unit, 140: Additional point master information reception processing unit,
150: Supplier information reception processing unit, 160: Search condition reception processing unit,
170: Score master information reception processing unit,
201: input device, 202: output device, 203: external storage device, 204: arithmetic device,
205: Main storage device, 206: Communication device, 210: Evaluation item weight temporary storage processing unit,
220: Supplier score calculation processing unit, 230: Search result validity determination processing unit,
240: a rank correction processing unit based on operation information;
310: an evaluation item weight storage unit,
320: QCD evaluation information storage unit, 330: Additional point information storage unit,
340: Additional score master information storage unit, 350: Supplier information storage unit, 360: Supplier score calculation result storage unit, 370: Supplier total score calculation result storage unit,

Claims

A supplier search device for searching for a candidate supplier from a plurality of suppliers,
An evaluation item weight storage unit for storing evaluation items for evaluating suppliers and weights of evaluation items;
A supplier information storage for storing information for evaluating the supplier;
A QCD evaluation information storage unit for storing information for scoring the value of the evaluation item;
A search condition reception processing unit for receiving a search condition for supplier selection;
An evaluation item weight temporary placement processing unit that recalculates the weight of the evaluation item stored in the evaluation item weight storage unit from the search condition received by the search condition reception processing unit;
A supplier score calculation processing unit that calculates a score for evaluating a supplier for a plurality of suppliers from the information stored in the evaluation item weight storage unit, the information stored in the QCD evaluation information storage unit, and the information stored in the supplier information storage unit When,
A transaction candidate supplier output processing unit that outputs a search result of the supplier extracted based on the result calculated by the supplier score calculation processing unit;
A determination processing unit for determining whether to change the weight of the evaluation item stored in the evaluation item weight storage unit from the operation content for the search result output by the transaction candidate supplier output processing unit;
A supplier search device comprising:
A search device for searching for a supplier according to claim 1,
An evaluation item weight reception processing unit for receiving input of evaluation items for evaluating suppliers and weights of evaluation items;
A supplier information reception processing unit for receiving information for evaluating the supplier;
A QCD evaluation information reception processing unit for receiving information for scoring the value of the evaluation item received by the supplier information reception processing unit;
A supplier search device comprising:
The supplier search device according to claim 1,
A point master information storage unit for storing information for scoring the user's operation content for the result output by the transaction candidate supplier output processing unit;
Based on the information stored in the point master information storage unit, by adding points in the calculation process in the supplier score calculation processing unit, a rank correction processing unit for correcting the ranking of the supplier score of the search results;
A supplier search device comprising:
In the evaluation item weight storage unit, the evaluation items are related to basic information of the supplier, including information on sales, number of years of establishment, number of manufacturing bases, number of manufacturing devices, or number of inspection devices, information on quality, information on cost, and delivery date. And a supplier score calculation processing unit calculates a score based on a value stored in the evaluation item weight storage unit for each supplier. The supplier search apparatus of Claim 1 or Claim 2.
3. The supplier search apparatus according to claim 2, wherein the supplier information reception processing unit receives information from an external system that handles order information.
2. The supplier search apparatus according to claim 1, wherein the value calculated by the evaluation item weight temporary placement processing unit is retained and used again for supplier score calculation processing at the next supplier search. Search device.
2. The supplier search device according to claim 1, wherein a value obtained by scoring the user's operation content is retained and used again for supplier score calculation processing at the next supplier search.
A supplier search program for searching for candidate suppliers from multiple suppliers,
A process for storing evaluation items and evaluation item weights for evaluating suppliers;
Processing to store information for evaluating the supplier;
Processing for storing information for scoring the value of the evaluation item;
Processing to accept search conditions for supplier selection;
A process of recalculating the weight of the stored evaluation item from the accepted search condition;
A score for evaluating the supplier is calculated for a plurality of suppliers from the weight of the evaluation item, information for evaluating the supplier, information stored in the storage unit, and information for scoring the value of the evaluation item. Processing,
A process for outputting a supplier search result extracted based on the calculated result;
A process for determining whether to change the weight of the evaluation item from the operation content for the output search result;
A supplier search program characterized by causing a computer to execute.
The supplier search program according to claim 8, wherein
A process of accepting input of evaluation items and evaluation item weights for evaluating a supplier;
A process for accepting information for evaluating a supplier;
A process of receiving information for scoring the value of the received evaluation item;
A supplier search program characterized by causing a computer to execute.
The supplier search program according to claim 8, wherein
A process of storing information for scoring the user's operation content for the output supplier search results;
A process of correcting the ranking of the supplier score of the search result by adding points in the supplier score calculation process based on the information for scoring the user operation content;
A supplier search program characterized by causing a computer to execute.
The evaluation items include supplier basic information including information on sales, number of years of establishment, number of manufacturing bases, number of manufacturing devices, or number of inspection devices, information on quality, information on cost, and information on delivery date. The supplier search program according to claim 8 or 9, wherein a score is calculated based on the evaluation item weight value for each supplier in the supplier score calculation process.
10. The supplier search program according to claim 9, wherein in the process of receiving information for evaluating the supplier, information from an external system that handles ordering information is received.
9. The supplier search program according to claim 8, wherein the recalculated evaluation item weight value is retained and used again for supplier score calculation processing at the next supplier search.
9. The supplier search program according to claim 8, wherein a value obtained by scoring the user's operation content is retained and used again for supplier score calculation processing at the next supplier search.
A computer-readable storage medium storing the supplier search program according to claim 8.