Supplier management service method and system

Abstract

The invention provides a supplier management service method and system, and the method comprises the steps: collecting data combinations related to suppliers from a plurality of systems, the data combinations related to the suppliers comprising supplier names, project data and other data, and the other data comprising one of the following data: category data, material data and component data; converting the material data according to a material and category comparison model to obtain corresponding category data; converting the part data according to a part and category comparison model to obtain corresponding category data; converting the project data according to the project and platform comparison model to obtain corresponding platform data, and finally obtaining a target data combination which comprises a supplier name, the platform data and category data; and performing score calculation of the evaluation items on the target data combination corresponding to each supplier, and summarizing scores of the evaluation items to obtain a total score of each supplier.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a supplier management service method and system. Background Art

[0002] In a globalized market environment, supplier management has become the core link of an enterprise's supply chain management. Effective supplier management can ensure the quality and supply stability of raw materials and components, directly affecting the production efficiency and market competitiveness of the enterprise. With the intensification of market competition, enterprises increasingly rely on the performance of suppliers to maintain their competitive advantages, which requires enterprises to conduct more refined and systematic evaluation and management of suppliers.

[0003] Supplier management is not only related to cost control and risk management, but also an important source of enterprise innovation and quality improvement. Currently, many enterprises have begun to realize that by establishing a close cooperation relationship with suppliers, knowledge, technology, and resources can be shared, thereby improving the response speed and flexibility of the entire supply chain.

[0004] Although the development of information technology has provided new possibilities for supplier management, there are still many problems in actual operation. For example, data integration problems between different systems and platforms lead to information silos, making it difficult to achieve a comprehensive evaluation of suppliers. In addition, the multi-dimensional data collection and analysis of supplier evaluation require complex data processing capabilities, which pose a technical and resource challenge for many enterprises. Therefore, it is particularly important to develop a supplier management system that can integrate multi-source data, achieve multi-dimensional evaluation, and provide real-time monitoring. Summary of the Invention

[0005] The present invention provides a supplier management service method and system to solve the technical defects in the prior art that multi-source data cannot be integrated and multi-dimensional evaluation of supplier management services cannot be performed.

[0006] The present invention provides a supplier management service method for a supplier management service system, and the method includes: Collecting data combinations related to suppliers from multiple systems respectively, where the data combinations related to suppliers include supplier names, project data, and other data, and the other data includes one of the following: category data, material data, and component data; Convert the material data in the data combination according to the material and category comparison model to obtain the corresponding category data; convert the component data in the data combination according to the component and category comparison model to obtain the corresponding category data; and convert the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, finally obtaining the target data combination, where the target data combination includes the supplier name, platform data, and category data; Calculate the scores of the evaluation items for the target data combination corresponding to each supplier, and summarize the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0007] According to the present invention, a supplier management service system includes: A collection module for respectively collecting data combinations related to suppliers from multiple systems, where the data combinations related to suppliers include the supplier name, project data, and other data, and the other data includes one of the following: category data, material data, and component data; A conversion module for converting the material data in the data combination according to the material and category comparison model to obtain the corresponding category data; converting the component data in the data combination according to the component and category comparison model to obtain the corresponding category data; and converting the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, finally obtaining the target data combination, where the target data combination includes the supplier name, platform data, and category data; A summarization module for calculating the scores of the evaluation items for the target data combination corresponding to each supplier, and summarizing the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0008] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, it implements the supplier management service method as described in any one of the above.

[0009] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the supplier management service method as described in any one of the above.

[0010] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the supplier management service method as described in any one of the above.

[0011] The supplier management service method and system provided by the present invention collect data combinations related to suppliers from multiple systems respectively, and then convert the collected material data, component data and project data into unified category data and platform data by using the material and category comparison model, component and category comparison model, and project and platform comparison model. This conversion ensures the consistency and comparability of the data and provides a basis for multi-dimensional evaluation. Furthermore, the converted data is summarized according to the dimensions of supplier name, platform data and category data, realizing the evaluation of the performance of suppliers under different platforms and categories. This multi-dimensional evaluation method can more comprehensively and meticulously reflect the performance of suppliers, providing strong support for the supplier management and supply chain optimization of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0013] Figure 1 It is a schematic flowchart of the supplier management service method provided by the present invention.

[0014] Figure 2 It is a schematic diagram of the on-time delivery rate statistics provided by the present invention.

[0015] Figure 3 It is a schematic diagram of the on-time delivery rate report provided by the present invention.

[0016] Figure 4 It is a schematic diagram of the detailed inventory preparation provided by the present invention.

[0017] Figure 5 It is a schematic diagram of the on-time inventory preparation rate report provided by the present invention.

[0018] Figure 6 It is a schematic diagram of the purchase intention form provided by the present invention.

[0019] Figure 7 It is a schematic diagram of the comprehensive score report of the purchase intention provided by the present invention.

[0020] Figure 8 It is a schematic diagram of the sub-form of the reply situation in the purchase intention form for the data provided by the present invention.

[0021] Figure 9 It is a schematic diagram of the comprehensive score report of the purchase intention provided by the present invention.

[0022] Figure 10It is a schematic diagram of the modules of the supplier management service system provided by the present invention.

[0023] Figure 11 It is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed implementation manners

[0024] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0025] First, a schematic explanation is given to the noun terms involved in the embodiments of the present invention.

[0026] Quality Management System (QMS): It refers to the framework structure used to guide and control an organization regarding quality. It includes quality-related systems and processes to ensure that the organization can consistently produce products and services that meet the requirements of customers and applicable laws and regulations. In supplier management, the QMS system can provide data on the product quality, compliance, and quality issue handling of suppliers, helping enterprises evaluate the quality control capabilities and product quality levels of suppliers.

[0027] Maintenance, Repair, and Operations (MRO): It refers to non-production materials or services used in maintenance, repair, and operations. These are usually items purchased by industrial enterprises to keep production equipment and facilities operating normally. The MRO system can provide data on the performance and reliability of the maintenance, repair, and operation supplies provided by suppliers, helping enterprises evaluate the performance of suppliers in terms of material supply and after-sales service.

[0028] Enterprise Resource Planning (ERP): That is, the enterprise resource planning system, which is used to manage the internal and external resources of an enterprise, including production, supply chain, finance, etc. The ERP system can provide data on the delivery time, inventory management, order processing, etc. of suppliers, helping enterprises evaluate the delivery capabilities and response speeds of suppliers.

[0029] Procurement Command Center (PCC): It is an integrated procurement management platform that centralizes various activities in the procurement process, including demand management, supplier selection, contract management, etc. The PCC system can provide data such as procurement intentions, plan submissions, and contract fulfillments of suppliers to help enterprises evaluate the cooperation willingness and plan execution capabilities of suppliers.

[0030] An embodiment of the present invention discloses a method for supplier management services. Refer to Figure 1 , including: 101. Collect data combinations related to suppliers from multiple systems respectively. Among them, the data combinations related to suppliers include supplier names, project data, and other data. The other data includes one of the following: category data, material data, and component data.

[0031] Develop an automated script or use an API interface to regularly scrape data from systems such as the Quality Management System (QMS), Product Operations System (MRO), Supply System (ERP), and Procurement System (PCC).

[0032] For example, the data combination collected from the Quality Management System (QMS) may include: supplier name, project data, and category data; the data combination collected from the Product Operations System (MRO) may include: supplier name, project data, and component data; the data combination collected from the Supply System (ERP) may include: supplier name, material data, and project data; the data combination collected from the Procurement System (PCC) may include: supplier name, category data, and project data.

[0033] During the data collection process, implement a data verification mechanism to ensure the accuracy and integrity of the collected data. Clean the collected data to remove duplicate, incorrect, or incomplete data records. Store the cleaned data in a central database for subsequent processing and analysis.

[0034] 102. Convert the material data in the data combination according to the material and category comparison model to obtain the corresponding category data; convert the component data in the data combination according to the component and category comparison model to obtain the corresponding category data; and convert the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, finally obtaining the target data combination. Among them, the target data combination includes supplier name, platform data, and category data.

[0035] Among them, the model is established in advance. During the establishment process, the structure of the model needs to be determined, including key fields and comparison relationships. For example, the relationship between materials and their categories, the relationship between components and their categories, and the relationship between projects and their platforms.

[0036] Then, through the preset mapping rules, material data, component data, and project data are mapped to the corresponding category data and platform data.

[0037] Taking the project - platform comparison model as an example, the core function of this model is to associate and compare project information and platform information in different systems or contexts to ensure data consistency and accuracy. The project - platform comparison model is not just a static data table. It may also contain business logic for handling complex mapping relationships such as many - to - one or one - to - many mappings, as well as handling special cases and exceptions. Therefore, the project - platform comparison model can be regarded as a specific data structure in a database, but its function and importance far exceed that of a simple database table. It is a key component to ensure accurate data conversion and consistency of evaluation dimensions.

[0038] Correspondingly, the functions implemented by the material - category comparison model and the component - category comparison model are similar to those of the project - platform comparison model, and will not be introduced one by one here.

[0039] 103. Calculate the scores of evaluation items for the target data combination corresponding to each supplier, and sum up the scores of each evaluation item to obtain the total score of each supplier. Among them, the total score is the basis for the management of each supplier.

[0040] Specifically, before calculating the scores of evaluation items, the scoring criteria and calculation methods for each evaluation item (such as in - plant product quality, product operation, delivery date, etc.) can be formulated in detail.

[0041] According to business requirements, weights are assigned to different evaluation factors for weighted calculation to obtain the score of each evaluation item. According to the preset scoring criteria and weights, the score of each supplier is automatically calculated. The calculated scores are fed back to the suppliers, and improvement suggestions are provided to promote the continuous improvement of the suppliers.

[0042] In addition, an artificial review mechanism can be set up on the basis of automated scoring to review the scores to ensure the fairness and accuracy of the evaluation results.

[0043] The supplier management service method provided by the embodiments of the present invention collects data combinations related to suppliers from multiple systems respectively, and then uses the material and category comparison model, the component and category comparison model, and the project and platform comparison model to convert the collected material data, component data, and project data into unified category data and platform data. This conversion ensures the consistency and comparability of the data, providing a basis for multi-dimensional evaluation; furthermore, the converted data is summarized according to the dimensions of supplier name, platform data, and category data, realizing the evaluation of the performance of suppliers under different platforms and categories. This multi-dimensional evaluation method can more comprehensively and meticulously reflect the performance of suppliers, providing strong support for the supplier management and supply chain optimization of enterprises.

[0044] Generate supplier performance scores and ranking reports according to time dimensions such as monthly, quarterly, and annual; then generate corresponding statistical analysis reports to analyze the performance of suppliers according to the dimension of "supplier + component".

[0045] The application of evaluation results can include the following several types: 1) Reference application for supplier invitation: When conducting the procurement method review, the system automatically recommends qualified suppliers and ranks them comprehensively according to the relative annual performance evaluation of components. The top-ranked suppliers are given priority for invitation. This ranking is updated monthly and serves as a reference for the selection of suppliers in invitation tenders.

[0046] 2) Qualification disposal: If the annual performance of a component fails to meet the standard or is below a certain level, the qualification will be suspended. If a component fails to meet the standard in a quarter, a notice of warning will be issued.

[0047] 3) Risk warning: When the single-item or overall score in a quarter is lower than 70 points, a risk warning will be issued, and the organization will take improvement measures. If necessary, a supervision and audit will be triggered. If the scores of a certain component of a supplier show a downward trend for 3 consecutive months, a warning will be issued, and the organization will analyze the reasons. If necessary, a supervision and audit will be triggered.

[0048] 4) Linked supplier classification: One of the supplier classification dimensions, a factor for judging the level of supplier risk, automatically linking to the supplier classification management process.

[0049] 5) Generate an evaluation report, and display the rankings in a dual dimension of components and suppliers in the regular report, serving as the basis for the selection of supplier supervision and audit, and cultivation.

[0050] The following takes the data collected from the quality management system, product operation system, supply system, and procurement system as examples to schematically illustrate the supplier management service method of the embodiments of the present invention.

[0051] Regarding the in-plant product quality, the performance evaluation score display dimension of the supplier management service system is "supplier + platform + category", and the data source is the Quality Management System (QMS). The provided data content consists of supplier information, category information, and project information. Therefore, it does not conform to the performance evaluation score display dimension of the supplier management service system.

[0052] Since the dimension of the data provided by QMS is supplier + category + project, based on the supplier being the only value, the project codes and project names provided by QMS are passed into the project and platform comparison model, and the platform data after conversion according to the model comparison relationship and each procurement element is summarized according to the dimension of "supplier + platform + category", and then the in-plant product quality score is calculated.

[0053] Specifically, step 101 collects data combinations related to suppliers from multiple systems respectively, specifically including: obtaining the quality management data combination related to suppliers from the quality management system, where the quality management data combination includes: supplier name, project data, and category data.

[0054] For example, the supplier management service system of this embodiment calls the QMS interface at 0:00 on the 1st of each month, obtains evaluation elements according to "supplier + project + component", and calculates the in-plant product quality (score) according to the algorithm.

[0055] In step 102, the project data in the data combination is converted according to the project and platform comparison model to obtain the corresponding platform data, specifically including: performing conversion in the project and platform comparison model according to the project code and project name in the quality management data combination to obtain the corresponding platform data.

[0056] In step 103, the score calculation of the evaluation items is performed on the target data combination corresponding to each supplier, specifically including: calculating the scores of each in-plant product quality evaluation element according to the platform data and category data corresponding to the supplier; performing weighted calculation according to the scores of each in-plant product quality evaluation element to obtain the in-plant product quality score.

[0057] Specifically, in step 103, calculations are performed according to the platform data and category data corresponding to the supplier to obtain each product quality evaluation element; then calculations are performed according to each product quality evaluation element and the corresponding score formula respectively to obtain the scores of each product quality evaluation element.

[0058] Among them, specifically, the in-plant product quality evaluation elements and their corresponding element calculation logics are: (1) FAI problem: FAI problem = (number of FAI problem items ÷ number of FAI times).

[0059] (2) Class A Flight Inspection Issues: Count the number of Class A flight inspection issues; Class B Flight Inspection Issues: Count the number of Class B flight inspection issues; Class C Flight Inspection Issues: Count the number of Class C flight inspection issues.

[0060] (3) Review: Count the number of reviews; Appraisal: Count the number of appraisals; Major, Inertial, Batch Quality Issues: Count the number of major, inertial, batch quality issues.

[0061] (4) Return Rate: Count the return rate.

[0062] (5) Class A Rework Jobs: Count the number of Class A rework jobs; Class B Rework Jobs: Count the number of Class B rework jobs.

[0063] (6) Critical Defects (A): Count the number of critical defects (A); Major Defects (B): Count the number of major defects (B); Minor Defects (C): Count the number of minor defects (C).

[0064] (7) Exceeding of Indicators: Count the number of times of exceeding indicators.

[0065] After obtaining the evaluation elements, SRM performs data processing, calculates the scores of each evaluation element, and summarizes them in the in-plant product quality score record form. Then, according to the scores of each evaluation element in the record form multiplied by the corresponding weights, the in-plant product quality score is summarized.

[0066] The specific algorithm is shown in the following calculation formula: In-plant Product Quality Evaluation Score = (FAI / Score of Physical Quality Confirmation Link × 10%) + (Score of Flight Inspection Link × 10%) + (Score of Review / Appraisal / Major Quality Issue Link × 30%) + (Score of Incoming Inspection Link × 10%) + (Score of Process Rework Job Link × 10%) + (Score of Supervision Monthly Report Link × 20%) + (Score of Annual Indicator Link × 10%).

[0067] For product operation, the data of product operation scoring elements comes from the MRO system fault tickets. SRM calls the MRO interface, inputs the supplier code and supplier name to obtain all the fault ticket data of parts + projects under the supplier. Based on the supplier being the only value, according to the part and category comparison model and the project and platform comparison model, the part and project data in the fault tickets are converted, and finally the data is classified and summarized according to the dimension of "supplier + category + platform" to obtain the product operation score.

[0068] Specifically, in step 101, data combinations related to suppliers are collected from multiple systems, specifically including: obtaining a product operation data combination related to the supplier from the product operation system, where the product operation data combination includes: supplier name, component data, and project data.

[0069] Specifically, the supplier management service system in the embodiment of the present invention first pulls the supplier qualification data of the SRM product category from the MRO system, and then generates a trouble ticket in the MRO system according to the actual offline business and associates it with the pulled supplier qualification.

[0070] For example, the supplier management service system calls the MRO interface at 0:00 on the 1st of each month, obtains the trouble ticket information corresponding to the MRO according to "supplier + platform type + component", then conducts data analysis of the trouble ticket, and finally calculates the product operation (score).

[0071] In step 102, the component data in the data combination is converted according to the component and category comparison model to obtain the corresponding category data, specifically including: converting the component data in the product operation data combination in the component and category comparison model to obtain the corresponding category data.

[0072] In step 103, the score calculation of the evaluation items is performed on the target data combination corresponding to each supplier, specifically including: calculating the scores of each product operation evaluation element according to the platform data and category data corresponding to the supplier; performing weighted calculation according to the scores of each product operation evaluation element to obtain the product operation score.

[0073] Specifically, each product operation evaluation element is calculated according to the platform data and category data corresponding to the supplier; the scores of each product operation evaluation element are calculated according to each product operation evaluation element and the corresponding score formula respectively.

[0074] The product operation evaluation element (fault category) is: Number of railway C train operation accidents / urban rail obvious accidents: Count the number of railway C train operation accidents / urban rail obvious accidents occurred in the current month according to the supplier + category; Number of railway D train operation accidents / urban rail general accidents: Count the number of railway D train operation accidents / urban rail general accidents occurred in the current month according to the supplier + category; Number of China Railway Safety Supervision Administration faults / major operation problems: Count the number of China Railway Safety Supervision Administration faults / major operation problems occurred in the current month according to the supplier + category; Number of general operation problems: Count the number of general operation problems occurred in the current month according to the supplier + category.

[0075] According to the dimensions of "supplier + platform type + component", count the number of documents generated for the fault categories described above in the obtained fault tickets, that is: Railway C train operation accident / urban rail obvious accident deduction points = number of Railway C train operation accidents / urban rail obvious accidents × 100; Railway D train operation accident / urban rail general accident deduction points = number of Railway D train operation accidents / urban rail general accidents × 50; China Railway Corporation Safety Supervision Department fault / major operation problem deduction points = number of China Railway Corporation Safety Supervision Department faults / major operation problems × 10.

[0076] General operation problem deduction points = (number of general operation problems + number of critical faults) × 1.

[0077] Note: The fault category of general operation problems includes critical faults, and critical faults only exist in the high-speed EMU platform type.

[0078] Based on the above calculations, the deduction points for each fault category are obtained and summarized in the quality operation score record form. Then, the product operation score is calculated according to the deduction situation of each evaluation element in the record form. The specific algorithm is shown in the following calculation formula: Product operation evaluation score = 100 - (Railway C train operation accident / urban rail obvious accident deduction points + Railway D train operation accident / urban rail general accident deduction points + China Railway Corporation Safety Supervision Department fault / major operation problem deduction points + general operation problem deduction points).

[0079] For the evaluation items of delivery time, the evaluation items of procurement elements are: timely supply rate, timely preparation rate, compliance rate of procurement intention plan, and timely submission rate of supplier plan. The data of evaluation items are sourced from the supply system ERP and the procurement system PCC. The data is captured by the supplier collaboration module for analysis and calculation, and then recalculated through the internal data transfer of the supplier management service system. The final score is presented in the monthly score report of supplier performance evaluation.

[0080] Among them, for the score items of timely supply and delivery rate and timely preparation rate, the corresponding detailed data are pulled from the ERP and PCC systems respectively. Based on the supplier being the only value, the detailed data are converted for materials and categories through the material and category comparison model, and then the projects are converted through the project and platform comparison model. Finally, the detailed data of "supplier + category + platform" are obtained. After the data combination summary of the converted category and platform comparison model, the timely supply and delivery rate score and timely preparation rate score of "supplier + platform + category" are finally obtained.

[0081] For the compliance rate of procurement intention plan and timely submission rate of supplier plan items, the dimension of the original data is "supplier + category + project". Based on the supplier being the only value, the conversion is carried out through the project and platform comparison model, and finally the data of "supplier + platform + category" are obtained.

[0082] Finally, the scores of the four vertices are calculated according to the dimension of "supplier + platform + category" to obtain the delivery time score.

[0083] Specifically, for the supply data: Step 101 collects data combinations related to suppliers from multiple systems respectively, specifically including: Obtain the supply detail data combination from the supply system, wherein the supply detail data combination includes supplier name, material data and project data; Step 102 converts the material data in the data combination according to the material and category comparison model to obtain the corresponding category data, specifically including: converting the material data in the supply detail data combination according to the material and category comparison model to obtain the corresponding category data; Convert the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, specifically including: converting the project data in the supply detail data combination according to the project and platform comparison model to obtain the corresponding platform data.

[0084] In the supplier collaboration module of the supplier management service system according to the embodiment of the present invention, the daily scheduled task takes the ERP supply timeliness rate data to generate a supply timeliness rate statistical table, and executes a timer at 8 o'clock on the last day of each month according to the supply timeliness rate statistical table to generate a supply timeliness rate report, as Figure 2 shown. The report fields are: year, month, supplier code, supplier name, project number (WBS), material code, material description, timely times, untimely times, timeliness rate, platform name, platform code, category name, category code.

[0085] Since there are no concepts of platform type and category in the supplier collaboration module of the supplier management service system, the supply timeliness rate statistical table is displayed according to "supplier + project + material code". Therefore, when generating the supply timeliness rate report, it is necessary to perform conversion and association according to project and platform, and material and category, as Figure 3 shown.

[0086] The project conversion is carried out according to the rules of the platform and project comparison table. The material conversion is carried out according to the corresponding relationship in the category and material code comparison table. The data of the category and material code comparison table is obtained by the supplier management service system calling the interface method, and comes from the procurement system PCC, that is, to convert the material into a category, the corresponding relationship needs to be maintained in the procurement system PCC first.

[0087] After the conversion rules are formulated, the supplier management service system performs data analysis on a regular basis every month according to the data in the statistical table, and counts the number of timely and untimely deliveries in the generated timely delivery rate report, so as to calculate the timely delivery rate, that is, the number of timely deliveries / (the number of timely deliveries + the number of untimely deliveries).

[0088] In addition, for the timely stock preparation rate, the supplier collaboration module calls the PCC interface to generate a real-time timely stock preparation rate report based on the PCC stock preparation detail data, and by default, displays the timely stock preparation rate data for the most recent day (obtained once a day, clearing the data of the previous day before obtaining the data).

[0089] See Figure 4 , the report fields of the stock preparation detail table: supplier code, supplier name, project number, project name, timely stock preparation quantity 6 days in advance, untimely stock preparation quantity 6 days in advance, timely stock preparation rate 6 days in advance, timely stock preparation quantity 9 days in advance, timely stock preparation quantity 9 days in advance, timely stock preparation rate 9 days in advance, platform code, platform name, category code, category name, material code.

[0090] When generating the timely stock preparation rate report, the data is displayed according to the dimensions of "supplier + platform type + component", such as Figure 5 shown. Among them, the timely stock preparation rate score = the number of items where the supplier meets the 9-day stock preparation / the number of items where the supplier should prepare stock in 9 days.

[0091] For procurement data: In step 101, data combinations related to suppliers are collected from multiple systems respectively, specifically including: Obtain the procurement detail data combination from the procurement system, where the procurement detail data combination includes supplier name, category data, and project data; In step 102, the project data in the data combination is converted according to the project and platform comparison model to obtain the corresponding platform data, specifically including: according to the project data in the procurement detail data combination, perform conversion in the project and platform comparison model to obtain the corresponding platform data; In step 103, the scores of evaluation items are calculated for the target data combination corresponding to each supplier, specifically including: according to the platform data and category data corresponding to the supplier, calculate the scores of each delivery evaluation factor and procurement evaluation factor respectively; perform weighted calculation based on the scores of each delivery evaluation factor and procurement evaluation factor to obtain the delivery time score.

[0092] For the compliance rate of the procurement intention plan, the procurement system PCC pushes the procurement intention order to the supplier management service system in real time. The supplier management service system summarizes the non-cancelled procurement intention orders at 0:00 on the 1st of each month and generates a procurement intention comprehensive score report and calculates the compliance rate. Among them, the procurement intention order is as Figure 6As shown, the comprehensive score report of purchase intention is as Figure 7 shown. Statistical dimensions of the comprehensive score table of purchase intention: year + month + supplier code + platform type + category. In the report, the year and month are assigned according to the time of the statistical report. For example, if the compliance rate for November is generated at 0:00 on December 1st, the year is 2023 and the month is November. Rules for generating the comprehensive score report of purchase intention: Obtain purchase intention form information based on supplier code, supplier name, purchase intention order number, category code, and category name. Number of conformances: The number of rows at the node where the actual completion time of the purchase intention form <= the planned completion time. That is, the purchase intention plan compliance rate = number of conformances / (number of conformances + number of non-conformances).

[0093] For the timely submission rate of the supplier's plan, the procurement system PCC pushes the purchase intention form to the supplier management service system in real time. The supplier management service system summarizes the non-canceled purchase intention forms at 0:00 on the 1st of each month (the data is taken from the reply situation sub-form in the purchase intention form, as Figure 8 shown), and generates the comprehensive score report of purchase intention and calculates the timely rate, as Figure 9 shown.

[0094] To count the timely rate for a certain month, summarize the reply situation data that needs to be replied from the 1st to the last day of the month according to "supplier + category code + purchase intention form". Example: During the period from December 1st to December 31st, the reply situation data for the purchase intention form of a certain category of a supplier, that is, the timely submission rate of the supplier's plan = number of timely replies / total number of replies.

[0095] After calculating the corresponding rate values for the above four items at 0:00 on the 1st of each month, they will be transmitted to the performance evaluation module of the supplier management system and then calculated in the performance evaluation module. Specific calculation formula: Delivery period (score) = (score of on-time delivery rate × 35%) + (score of on-time stock preparation rate × 35%) + (score of purchase intention plan compliance rate × 15%) + (score of timely submission rate of supplier's plan × 15%).

[0096] Among them, the internal data transfer is also based on the dimensions of supplier + platform + category. When calculating the delivery period score, if one or more of these items have values and the remaining other items without scores need to calculate the average score of the suppliers with scores for this item and give it to the suppliers without scores. For example: Ten suppliers (A, B, C, D... J) are obtained. Among them, for the item of "score of on-time delivery rate", only four suppliers A, B, C, and E have scores (80 points, 90 points, 80 points, and 60 points respectively), and the remaining six have no scores. The scores of these six suppliers without scores come from the average score of the suppliers with scores. That is, (80 + 90 + 80 + 60) / 4 = 77.5 points, and the on-time delivery rate scores of the remaining six suppliers are all 77.5 points.

[0097] If a supplier fails to score in all four delivery time items, the delivery time (score) of the supplier is 0 points.

[0098] When evaluating bids in the tender procurement module of the supplier management system, there are objective scores for procurement elements in the scoring rules, and the data for these objective scores is sourced from the monthly performance score reports of suppliers.

[0099] Before the review of a tender project is initiated, it is necessary to obtain the scores for procurement elements in the supplier performance evaluation module. The value-taking logic for the scores of procurement elements is as follows: All suppliers participating in a certain package in a project are grouped together, and the performance evaluation scores are requested for the package. When returning the scores to the tender module, it will be verified whether all suppliers in this group have scores. If a certain supplier is a new supplier or a supplier that has not supplied goods within the evaluation period and has no score, then for the supplier without a score, the minimum score among the suppliers in this group is taken as the delivery time (score) of this supplier; if none of the requested suppliers have scores in the previous year's performance evaluation, then the highest value (35 points) of the delivery time (score) of each supplier is returned to the tender procurement module.

[0100] Finally, the scores for in-plant product quality, product operation, and delivery time are weighted to obtain the total score of the supplier.

[0101] Furthermore, for the three sections of technical cooperation, management cooperation, and supplier rewards and punishments, the deduction scores and addition scores are summarized through manual entry in the dimension of "supplier + platform + category", and the scores for technical cooperation, management cooperation, and supplier rewards and punishments are calculated using the method of subtracting from the full score. Based on the supplier being the only value, and then according to the corresponding weights, they are incorporated into the total score under the dimension of "supplier + platform + category".

[0102] The method implemented by the supplier management service system according to the embodiments of the present invention has the following technical effects: Improve data consistency and accuracy: By establishing a material and category comparison model, a component and category comparison model, and a project and platform comparison model, it is ensured that the data collected from different systems can be accurately converted and unified, thereby improving data consistency and accuracy.

[0103] Enhance the comprehensiveness of supplier evaluation: Using the converted data, evaluations are carried out in the dimension of "supplier + platform + category", making the evaluation of suppliers more comprehensive and capable of reflecting the performance of suppliers in different business areas in detail.

[0104] Improve the automation and efficiency of the evaluation process: Develop automated data collection and conversion tools, reduce manual operations, lower the error rate, and at the same time improve the efficiency of the evaluation process, making the supplier evaluation more timely and efficient.

[0105] Optimize supply chain management decisions: Through accurate supplier evaluation scores, enterprises can more accurately identify the performance of suppliers, thus making more reasonable management decisions in aspects such as supplier selection, contract renewal, and risk warning, and optimizing the management of the entire supply chain.

[0106] Promote the continuous improvement of suppliers: By feeding back the evaluation results to suppliers, suppliers can understand which aspects they perform well in and which aspects need improvement, thereby promoting the continuous improvement of suppliers and enhancing the quality of the overall supply chain.

[0107] Achieve dynamic monitoring of the supply chain: The system can achieve real-time monitoring of supplier performance, promptly discover potential problems and take corresponding measures, enhancing the flexibility and responsiveness of the supply chain.

[0108] The following describes the supplier management service system provided by the embodiments of the present invention. The supplier management service system described below can be mutually corresponding and referred to with the supplier management service method described above.

[0109] Embodiments of the present invention provide a supplier management service system. Refer to Figure 10 , including: A collection module 1001, configured to collect data combinations related to suppliers from multiple systems respectively. Among them, the data combinations related to suppliers include supplier names, project data, and other data, and the other data includes one of the following: category data, material data, and component data; A conversion module 1002, configured to convert the material data in the data combination according to the material and category comparison model to obtain the corresponding category data; convert the component data in the data combination according to the component and category comparison model to obtain the corresponding category data; and convert the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, and finally obtain a target data combination, where the target data combination includes supplier names, platform data, and category data; A summary module 1003, configured to calculate the scores of evaluation items for the target data combination corresponding to each supplier, and summarize the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0110] Figure 11 Illustrates a schematic diagram of the physical structure of an electronic device, such as Figure 11As shown, the electronic device may include: a processor 1110, a communications interface 1120, a memory 1130, and a communication bus 1140. Among them, the processor 1110, the communications interface 1120, and the memory 1130 communicate with each other through the communication bus 1140. The processor 1110 may call logic instructions in the memory 1130 to execute the supplier management service method, which includes: collecting data combinations related to suppliers from multiple systems respectively, where the data combinations related to suppliers include supplier names, project data, and other data, and the other data includes one of the following: category data, material data, and component data; converting the material data in the data combination according to the material and category comparison model to obtain the corresponding category data; converting the component data in the data combination according to the component and category comparison model to obtain the corresponding category data; and converting the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, and finally obtaining a target data combination, where the target data combination includes supplier names, platform data, and category data; calculating the scores of evaluation items for the target data combination corresponding to each supplier, and summing up the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0111] In addition, when the logic instructions in the above-mentioned memory 1130 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0112] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the supplier management service method provided by each of the above methods. The method includes: collecting data combinations related to suppliers from multiple systems respectively, where the data combinations related to suppliers include supplier names, project data, and other data, and the other data includes one of the following: category data, material data, and component data; converting the material data in the data combination according to the material and category comparison model to obtain corresponding category data; converting the component data in the data combination according to the component and category comparison model to obtain corresponding category data; and converting the project data in the data combination according to the project and platform comparison model to obtain corresponding platform data, and finally obtaining a target data combination, where the target data combination includes supplier names, platform data, and category data; calculating the scores of evaluation items for the target data combination corresponding to each supplier, and summarizing the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0113] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the supplier management service method provided by each of the above methods. The method includes: collecting data combinations related to suppliers from multiple systems respectively, where the data combinations related to suppliers include supplier names, project data, and other data, and the other data includes one of the following: category data, material data, and component data; converting the material data in the data combination according to the material and category comparison model to obtain corresponding category data; converting the component data in the data combination according to the component and category comparison model to obtain corresponding category data; and converting the project data in the data combination according to the project and platform comparison model to obtain corresponding platform data, and finally obtaining a target data combination, where the target data combination includes supplier names, platform data, and category data; calculating the scores of evaluation items for the target data combination corresponding to each supplier, and summarizing the scores of each evaluation item to obtain the total score of each supplier, where the total score is the basis for managing each supplier.

[0114] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0115] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A supplier management service method, characterized in that: For use in a supplier management service system, the method comprises: Collecting a combination of data related to suppliers from multiple systems respectively, wherein the combination of data related to suppliers includes supplier name, project data and other data, and the other data includes one of the following: category data, material data and component data; The material data in the data combination is converted according to the material and category comparison model to obtain the corresponding category data; the component data in the data combination is converted according to the component and category comparison model to obtain the corresponding category data; and the project data in the data combination is converted according to the project and platform comparison model to obtain the corresponding platform data, and finally the target data combination is obtained, wherein the target data combination includes the supplier name, platform data and category data; The scores of the evaluation items are calculated for the target data combination corresponding to each supplier, and the scores of the evaluation items are summarized to obtain the total score of each supplier, wherein the total score is the basis for the management of each supplier.

2. The supplier management service method according to claim 1, characterized in that: The system includes: a quality management system; the project data includes: a project code and a project name; the evaluation items include: in-plant product quality; Collecting data combinations related to suppliers from multiple systems respectively, specifically including: obtaining quality management data combinations related to suppliers from the quality management system, wherein the quality management data combinations include: supplier name, project data and category data; Converting the project data in the data combination according to the project and platform comparison model to obtain corresponding platform data, specifically including: converting the project code and project name in the quality management data combination in the project and platform comparison model to obtain corresponding platform data; The scores of the evaluation items are calculated for the target data combination corresponding to each supplier, specifically including: calculating the scores of each in-factory product quality evaluation factor according to the platform data and category data corresponding to the supplier; performing weighted calculation based on the scores of each in-factory product quality evaluation factor to obtain the in-factory product quality score.

3. The supplier management service method according to claim 2, characterized in that: According to the platform data and category data corresponding to the supplier, the scores of the product quality evaluation factors in each factory are calculated respectively, including: Calculate the platform data and category data corresponding to the supplier to obtain various product quality evaluation factors; product quality evaluation factors include: first-article inspection issues; flight inspection issues; number of reviews and comments; major, inertial, and batch quality issues; return rate; number of repair jobs; number of fatal defects, major defects, and general defects; number of indicators exceeded; Calculations are performed based on each product quality evaluation factor and the corresponding score formula to obtain the score of each product quality evaluation factor.

4. The supplier management service method according to any one of claims 1 to 3, characterized in that: The system includes: a product operation system; the evaluation items include: product operation; Collecting data combinations related to suppliers from multiple systems respectively, specifically including: acquiring product operation data combinations related to suppliers from the product operation system, wherein the product operation data combinations include: supplier name, component data and project data; Converting the component data in the data combination according to the component and category comparison model to obtain corresponding category data, specifically including: converting the component data in the product operation data combination in the component and category comparison model to obtain corresponding category data; The scores of the evaluation items are calculated for the target data combination corresponding to each supplier, specifically including: calculating the scores of each product operation evaluation factor according to the platform data and category data corresponding to the supplier; performing weighted calculation according to the scores of each product operation evaluation factor to obtain the product operation score.

5. The supplier management service method according to claim 4, characterized in that: According to the platform data and category data corresponding to the supplier, the scores of each product operation evaluation factor are calculated respectively, including: Calculate the platform data and category data corresponding to the supplier to obtain the operational evaluation factors of each product; the operational evaluation factors of the product include: the number of railway C traffic accidents / urban rail explicit accidents; the number of railway D traffic accidents / urban rail general accidents; the number of railway safety supervision failures / major operational problems; the number of general operational problems; Calculate each product operation evaluation factor and the corresponding score formula to get the score of each product operation evaluation factor.

6. The supplier management service method according to any one of claims 1 to 3, characterized in that: The system includes: a supply system and a purchasing system; the evaluation items include: delivery time; Collect a combination of supplier-related data from multiple systems, including: Acquire a supply detail data combination from a supply system, wherein the supply detail data combination includes a supplier name, material data, and project data; Acquire a purchase detail data combination from a purchase system, wherein the purchase detail data combination includes a supplier name, category data, and project data; Converting the material data in the data combination according to the material and category comparison model to obtain corresponding category data, specifically including: converting the material data in the supply detail data combination in the material and category comparison model to obtain corresponding category data; Converting the project data in the data combination according to the project and platform comparison model to obtain the corresponding platform data, specifically including: converting the project data in the supply detail data combination according to the project and platform comparison model to obtain the corresponding platform data; converting the project data in the procurement detail data combination according to the project and platform comparison model to obtain the corresponding platform data; The scores of the evaluation items are calculated for the target data combination corresponding to each supplier, specifically including: calculating the scores of each supply evaluation factor and the procurement evaluation factor according to the platform data and category data corresponding to the supplier; performing weighted calculation based on the scores of each supply evaluation factor and the procurement evaluation factor to obtain the delivery time score.

7. The supplier management service method according to claim 6, characterized in that: According to the platform data and category data corresponding to the supplier, the scores of each supply evaluation factor and procurement evaluation factor are calculated respectively, including: Calculate the platform data and category data corresponding to the supplier to obtain various supply evaluation factors and procurement evaluation factors; wherein the supply evaluation factors include: supply timeliness rate and stock preparation timeliness rate; the procurement evaluation factors include: procurement intention plan compliance rate and supplier plan submission timeliness rate; According to each supply evaluation factor and procurement evaluation factor and the corresponding score formula, calculations are performed separately to obtain the score of each product operation evaluation factor.

8. A supplier management service system, characterized in that: include: A collection module, used to collect data combinations related to suppliers from multiple systems respectively, wherein the data combinations related to suppliers include supplier names, project data and other data, and the other data includes one of the following: category data, material data and component data; A conversion module, used to convert the material data in the data combination according to the material and category comparison model to obtain corresponding category data; convert the component data in the data combination according to the component and category comparison model to obtain corresponding category data; and convert the project data in the data combination according to the project and platform comparison model to obtain corresponding platform data, and finally obtain a target data combination, wherein the target data combination includes a supplier name, platform data and category data; The summary module is used to calculate the scores of the evaluation items for the target data combination corresponding to each supplier, and summarize the scores of each evaluation item to obtain the total score of each supplier, wherein the total score is the basis for the management of each supplier.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the supplier management service method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the supplier management service method according to any one of claims 1 to 7 is implemented.

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