Purchase full life cycle management method based on digital twinning

Abstract

The invention discloses a purchase full life cycle management method based on digital twinning, which relates to the field of purchase management, and comprises the following steps: firstly, analyzing purchase demands, analyzing records from different processes, and establishing digital twinning bodies in a demand analysis stage; according to the method, the overall purchase information is updated in real time by configuring a list and establishing the digital twinborn body, a target is provided for purchase, products introduced by market data mining and prediction and suppliers thereof are scientifically matched with the digital twinborn body, a plurality of appropriate suppliers are selected, and a transaction stage digital twinborn model is established, so that the transaction efficiency is improved. Product orders are distributed among a plurality of suppliers, formed sub-order data are fed back to a management module in a supplier selection management system, assessment, evaluation and rating of the suppliers are carried out, a circulation route of supplier selection and management is formed, feedback among all stages of purchasing is synchronized in time, the association degree of all stages of purchasing is enhanced, and the purchasing efficiency is improved. The purchasing quality is ensured and the purchasing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of procurement management, and specifically to a procurement full life cycle management method based on digital twins. Background Art

[0002] Procurement refers to a series of behaviors and activities that individuals or enterprises take to obtain products or services from the supply market under certain conditions as resources needed by individuals or enterprises in order to meet personal needs or ensure the normal development of production and business activities of the enterprise. Among them, procurement is one of the most critical and complex processes of an enterprise. Efficient procurement can ensure that an enterprise obtains the required materials, supplies and labor, thereby helping the enterprise achieve its goals.

[0003] For example, Chinese patent CN114693108A discloses a method for the full life cycle management of procurement suppliers, including the following steps: S1, supplier development certification and introduction; specifically, S11, detailed procurement market analysis through understanding of procurement needs; S12, finding and screening suitable supplier resources according to enterprise standards; S13, evaluating and testing new suppliers according to industry and enterprise standards; S14, introducing qualified suppliers and establishing complete supplier files; S2, classification management of suppliers and materials; specifically, S21, classifying existing and potential suppliers.

[0004] However, the entire procurement life cycle can be divided into four stages: defining demand, supplier selection, order management, and supplier management. Procurement involves supplier management, cost control, and handling a large number of procurement requests. In order to improve procurement efficiency and reduce procurement costs, companies need to adopt advanced technologies and tools to simplify the procurement process and achieve sustainable development; however, existing procurement management methods focus on supplier development certification and introduction, pursue the growth of the number of suppliers, ignore other stages and the linkage between all parties, and have weak correlation, which cannot guarantee procurement quality and efficiency, and does not provide guidance for planned procurement. Summary of the invention

[0005] The purpose of the present invention is to provide a procurement life cycle management method based on digital twins to solve the problem that the existing procurement management method proposed in the above background technology focuses on supplier development certification and introduction, pursues the growth of the number of suppliers, ignores other stages and the linkage between the parties, has weak correlation, and has no guiding help for planned procurement.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: A procurement life cycle management method based on digital twins, comprising the following contents: firstly, analyzing procurement needs, analyzing records from different processes, and establishing a digital twin of the demand analysis stage; then, by inputting the digital twin into a supplier selection management system, selecting a plurality of suitable products and their suppliers; then establishing a digital twin model of the transaction stage, reasonably allocating orders among a plurality of suppliers, forming sub-order data; finally, inputting the sub-order data into the supplier selection management system, and conducting supplier assessment, evaluation and rating;

[0007] The establishment of the digital twin in the demand analysis phase specifically includes the following steps:

[0008] S1. Use the "demand-configuration" relationship table to determine the configuration modules that the product will use at the beginning of procurement and form a configuration list;

[0009] S2, after discussing and recording different processes, a digital twin is formed;

[0010] The establishment of the transaction phase digital twin model specifically includes the following steps:

[0011] A1. Main principles for establishing a digital twin model at the transaction stage;

[0012] A2. Factors that increase the discount of tiered prices;

[0013] A3. Establishment of digital twin model in the transaction stage.

[0014] Preferably, for complex products involving thousands of parts, clarifying the relationship between various requirements and product configurations is necessary for the continuous iteration and long-term development of products. Requirements come from the user's wishes, and configurations are reflected in products. This correspondence can be mapped in the virtual space. In step S1, the "requirement-configuration" relationship table includes the following aspects:

[0015] Before the product is used, a configuration designed to meet the user's initial needs will be generated;

[0016] During product use, configuration changes will occur to meet the user's increased needs;

[0017] After the product is used, it will have a configuration designed to meet the needs of scrapping and recycling;

[0018] Integrate the demand and configuration information of multiple generations of products; especially for large products with hundreds of millions of parts, provide clear procurement targets and save procurement cycles.

[0019] Preferably, in step S2, the different process discussions and records specifically include the following steps:

[0020] S21. Records of different candidate products of the same purchaser: A purchaser will have multiple candidate products at the beginning of the purchase. The candidate products that are discarded in this purchase will be referenced or adopted in the subsequent purchase of similar products. For example, when determining certain empirical values, the number of calculations can be reduced or the accuracy can be improved. A sufficient number of candidate products will form a comparison table, which can provide great reference and help for the determination of subsequent products. Its value will increase rapidly with the increase in the number of records, and finally it can become the core procurement data of the enterprise;

[0021] S22. Cooperation records between different purchasing personnel: Large products with a large number of parts are handled by different purchasing personnel. In order to improve purchasing efficiency, different purchasing personnel must make purchases based on the same publicly recognized model. This public model is the prototype of the digital twin of the first generation of products. Although the digital twin has not yet become a true expression of the product in the virtual space, it already has a mechanism for tracing at any time, and this mechanism gives the overall purchasing work the ability to respond quickly to product changes;

[0022] S23. Product summary and establishment of digital twins: This initial digital twin represents the latest progress of the product procurement process. The digital twin is responsible for updating the various components of the product in real time, so that any purchaser can see the latest product procurement information at any time. Therefore, it can avoid the problem of procurement management confusion and improve the efficiency of collaborative procurement;

[0023] S24. Digital twin review: By reviewing the digital twin, procurement shortcomings can be assessed and procurement plans can be changed in a timely manner so that procurement tasks can be completed on time.

[0024] Preferably, in step A1, the main principles include the following aspects:

[0025] Objective function: Minimize total purchase cost, maximize the number of qualified products, maximize the number of on-time deliveries, and maximize the number of products that meet service standards;

[0026] Constraints: total purchase quantity = total demand quantity, the supply quantity of a single supplier does not exceed its maximum supply capacity, the supply quantity of each supplier matches its corresponding price range, and the purchase quantity is greater than or equal to zero.

[0027] Preferably, in step A2, in the procurement of enterprises, the scale effect cannot be ignored. Price discount is adopted by many enterprises as a mechanism to coordinate the interests of buyers and sellers. The full quantity discount is used as the calculation method. The price discount is expressed by the formula:

[0028]

[0029] Where: i is the number of suppliers, j is the discount stage, x i is the order proportion of the i-th supplier, r ij represents the price discount of the product purchased by supplier i in discount stage j, a ij represents the upper limit of the product purchased by supplier i in the jth discount stage, x ij It represents the quantity of products purchased by supplier i in discount stage j.

[0030] Preferably, in step A3, for a product purchased from multiple suppliers, a digital twin model of the transaction stage is established according to the situation of granting phased discounts based on the purchase volume, as follows:

[0031] The following formula shows that the total cost of purchasing products from multiple suppliers is the lowest:

[0032]

[0033] Where: y ij represents an integer decision variable with a value of 0 to 1, where a value of 1 indicates that the product is purchased from supplier i in the jth preferential period, and 0 indicates that the product is not purchased from supplier i. i is the price offered by the i-th supplier;

[0034] As shown in the following formula, it means that the number of qualified products purchased is the largest:

[0035]

[0036] Where: q i is the quality of the i-th supplier;

[0037] The following formula represents the largest number of on-time deliveries among the purchased products:

[0038]

[0039] Where: t i is the delivery cycle of the ith supplier;

[0040] As shown below, the number of products that reach the service level is the largest:

[0041]

[0042] Where: s i is the service level satisfaction rate of the i-th supplier;

[0043] As shown in the following formula, the total number of products purchased is equal to the total number of products requested by the demander:

[0044]

[0045] Where: B is the total demand;

[0046] The following formula represents that the purchase volume of each supplier is within the supply capacity of the supplier:

[0047]

[0048] Where: c i is the supply capacity of the ith supplier;

[0049] The following formula indicates that the product purchase quantity obtained by a supplier is consistent with the quantity range of the corresponding discount stage:

[0050] y ij a i(j-1) ≤x ij <y ij a ij ;

[0051] As shown in the following formula, the price of the purchased product can only be purchased at a certain discount stage and cannot occupy multiple price stages:

[0052]

[0053] The following is a 0-1 variable representing an integer:

[0054]

[0055] The following formula represents the actual situation, and the purchase volume is greater than or equal to zero:

[0056] x ij ≥0;

[0057] In the actual procurement process, the purchase quantity of items is also an integer. According to the actual situation, the constraint expression is added as follows. In order to reduce the supply risk of a single source, the order quantity of each supplier is greater than or equal to 15%, that is:

[0058]

[0059] The sub-order data of this product is obtained from the above, and the remaining multiple products form sub-orders in the same way.

[0060] Preferably, the supplier selection management system includes a management module, a collaboration platform and an enterprise ERP module;

[0061] The management module is used for market analysis, demand forecasting, customer and channel resource management, communication, supplier matching, evaluation, and performance assessment;

[0062] The collaborative platform integrates process automation, data import, full-text search, report charts, forms, instant messaging components and mobile phone SMS components;

[0063] The enterprise ERP module is an integrated system applied within the enterprise, covering customer, project, inventory and procurement supply production management.

[0064] Preferably, in the step of selecting a plurality of suitable products and their suppliers by inputting the digital twin into the supplier selection management system, the specific steps are:

[0065] E1, market data mining and forecasting, introducing external potential suppliers;

[0066] E2. After evaluating the supplier through the management module, the supplier is admitted to form a supplier information pool;

[0067] E3, the collaborative platform connects the management module and the enterprise ERP module, automatically updates and synchronizes ERP data, achieves data visualization, and manages supplier information;

[0068] E4. Select suitable products and their suppliers by matching the digital twin with the supplier product information pool.

[0069] Preferably, in the step of inputting the sub-order data into the supplier selection management system to conduct supplier assessment, evaluation and rating, the specific steps are:

[0070] F1. Import sub-order data into the management module through the collaborative platform to visualize the purchase order business, purchase process and payment process, improve purchase performance management, and help build value-oriented organizational goals;

[0071] F2. With the increase in the number of orders of magnitude and the complexity of the system process, we can flexibly use intelligent digital methods such as data analysis, big data analysis with high computing power, artificial intelligence machine learning, etc. to provide strong technical support for market analysis and forecasting and internal management. We can link the product category management in the management module with the KPI in the enterprise ERP module, and use the collaborative platform to realize the management of visualized business, budget and financial statements, and track costs;

[0072] F3. In the management module, a supplier evaluation and decision-making system is established based on digitalization / information intelligence / automation indicators, quality management, technical level, cooperative relationship, risk indicators, time control sensitivity, digital service level, and overall business conditions.

[0073] Compared with the prior art, the present invention has the following beneficial effects:

[0074] 1. In the present invention, a digital twin is established according to the configuration list, so that the overall procurement information is updated in real time, providing a target for procurement, and scientifically matching the products and their suppliers introduced by market data mining and prediction with the digital twin, selecting multiple suitable suppliers, and allocating product orders among multiple suppliers by establishing a digital twin model of the transaction stage. At the same time, the sub-order data formed is fed back to the management module in the supplier selection management system to conduct supplier assessment, evaluation and rating, forming a circular route for supplier selection and management, timely synchronizing feedback between procurement stages, strengthening the correlation between procurement stages, ensuring procurement quality, and improving procurement efficiency.

[0075] 2. In the present invention, the digital twin is jointly established by multiple purchasing personnel or multiple purchasing parties, and the overall product procurement information is updated in real time and fed back to the purchasing personnel or purchasing parties to avoid procurement management chaos and improve the efficiency of cooperative procurement. The digital twin is reviewed regularly to assess procurement shortcomings, and the procurement plan is changed or adjusted in time to avoid procurement errors. As the procurement progress continues to advance, the continuously improved digital twin has the function of a digital prototype, and physical tests such as structural analysis, assembly analysis, collision analysis or dynamics analysis are carried out in advance, providing powerful data reference for later physical testing, greatly shortening the product implementation cycle.

[0076] 3. In the present invention, by establishing a digital twin model in the transaction stage, the supplier's capacity ceiling, the price discount given, and the data generated during the cooperation with the supplier are used to measure the potential for future cooperation, and product orders are reasonably allocated among suppliers to ensure the company's product supply capacity. Especially for the procurement of large products consisting of multiple products, the digital twin model in the transaction stage can make scientific procurement decisions with high accuracy and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A flowchart of a procurement life cycle management method based on digital twins according to the present invention;

[0078] Figure 2 It is an analysis process diagram of a demand list in a procurement full life cycle management method based on digital twins of the present invention;

[0079] Figure 3 This is a composition diagram of the digital twin in the analysis phase of a procurement life cycle management method based on digital twins in the present invention. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] Example: Refer to Figure 1 - Figure 3 Shown: A procurement life cycle management method based on digital twins, including the following:

[0082] First, analyze the procurement needs, analyze the records from different processes, and establish a digital twin for the demand analysis stage, which includes the following steps:

[0083] S1. Use the "demand-configuration" relationship table to determine the configuration modules that the product will use at the beginning of procurement and form a configuration list;

[0084] Among them, for complex products involving thousands of parts, clarifying the relationship between various requirements and product configurations is necessary for the continuous iteration and long-term development of products. Demands come from the user's wishes, and configurations are reflected in products. This correspondence can be mapped in the virtual space. In step S1, the "requirements-configuration" relationship table includes the following aspects, such as Figure 2 As shown:

[0085] Before the product is used, a configuration designed to meet the user's initial needs will be generated;

[0086] During product use, configuration changes will occur to meet the user's increased needs;

[0087] After the product is used, it will have a configuration designed to meet the needs of scrapping and recycling;

[0088] Integrate requirements and configuration information for multiple generations of products;

[0089] Especially for large products with hundreds of millions of parts, it provides clear procurement targets and saves procurement cycles.

[0090] S2, after discussing and recording different processes, a digital twin is formed, such as Figure 3 As shown;

[0091] Specifically, the following steps are included:

[0092] S21. Records of different candidate products of the same purchaser: A purchaser will have multiple candidate products at the beginning of the purchase. The candidate products that are discarded in this purchase will be referenced or adopted in the subsequent purchase of similar products. For example, when determining certain empirical values, the number of calculations can be reduced or the accuracy can be improved. A sufficient number of candidate products will form a comparison table, which can provide great reference and help for the determination of subsequent products. Its value will increase rapidly with the increase in the number of records, and finally it can become the core procurement data of the enterprise;

[0093] S22. Cooperation records between different purchasing personnel: Large products with a large number of parts are handled by different purchasing personnel. In order to improve purchasing efficiency, different purchasing personnel must make purchases based on the same publicly recognized model. This public model is the prototype of the digital twin of the first generation of products. Although the digital twin has not yet become a true expression of the product in the virtual space, it already has a mechanism for tracing at any time, and this mechanism gives the overall purchasing work the ability to respond quickly to product changes;

[0094] S23. Product summary and establishment of digital twins: This initial digital twin represents the latest progress of the product procurement process. The digital twin is responsible for updating the various components of the product in real time, so that any purchaser can see the latest product procurement information at any time. Therefore, it can avoid the problem of procurement management confusion and improve the efficiency of collaborative procurement;

[0095] S24. Digital twin review: By reviewing the digital twin, procurement shortcomings can be assessed and procurement plans can be changed in a timely manner so that procurement tasks can be completed on time.

[0096] By establishing a digital twin, the overall procurement work can respond quickly to product changes. At the same time, the digital twin is jointly established by multiple procurement personnel or multiple purchasing parties. The overall product procurement information is updated in real time and fed back to the procurement personnel or purchasing parties to avoid procurement management chaos and improve the efficiency of cooperative procurement. The digital twin is reviewed regularly to assess procurement shortcomings, and procurement plans or adjustments are made in a timely manner to avoid procurement errors. As the procurement progress continues to advance, the continuously improved digital twin has the function of a digital prototype, and physical tests such as structural analysis, assembly analysis, collision analysis or dynamics analysis are carried out in advance, providing powerful data references for later physical tests and greatly shortening the product launch cycle.

[0097] Next, multiple suitable products and their suppliers are selected by inputting the digital twin into the supplier selection management system;

[0098] Wherein, the supplier selection management system includes a management module, a collaboration platform and an enterprise ERP module;

[0099] The management module is used for market analysis, demand forecasting, customer and channel resource management, communication, supplier matching, evaluation, and performance assessment;

[0100] The collaborative platform integrates process automation, data import, full-text search, report charts, forms, instant messaging components and mobile phone SMS components;

[0101] The enterprise ERP module is an integrated system used within the enterprise, covering customer, project, inventory and procurement supply production management;

[0102] In the step of selecting a plurality of suitable products and their suppliers by inputting the digital twin into the supplier selection management system, the specific steps are:

[0103] E1, market data mining and forecasting, introducing external potential suppliers;

[0104] E2. After evaluating the supplier through the management module, the supplier is admitted to form a supplier information pool;

[0105] E3, the collaborative platform connects the management module and the enterprise ERP module, automatically updates and synchronizes ERP data, achieves data visualization, and manages supplier information;

[0106] E4. Select suitable products and their suppliers by matching the digital twin with the supplier product information pool.

[0107] Then, a digital twin model for the transaction phase is established to reasonably distribute orders among multiple suppliers and form sub-order data;

[0108] Among them, establishing a digital twin model in the transaction stage specifically includes the following steps:

[0109] A1. Main principles for establishing a digital twin model at the transaction stage;

[0110] The main principles include the following aspects:

[0111] Objective function: Minimize total purchase cost, maximize the number of qualified products, maximize the number of on-time deliveries, and maximize the number of products that meet service standards;

[0112] Constraints: total purchase quantity = total demand quantity, the supply quantity of a single supplier does not exceed its maximum supply capacity, the supply quantity of each supplier matches its corresponding price range, and the purchase quantity is greater than or equal to zero.

[0113] A2. Factors that increase the discount of tiered prices;

[0114] In corporate procurement, economies of scale cannot be ignored. Price discounts, as a mechanism to coordinate the interests of buyers and sellers, are adopted by many companies. The full quantity discount is used as the calculation method. The price discount is expressed by the formula:

[0115]

[0116] Where: i is the number of suppliers, j is the discount stage, x i is the order proportion of the i-th supplier, r ij represents the price discount of the product purchased by supplier i in discount stage j, a ij represents the upper limit of the product purchased by supplier i in the jth discount stage, x ij It represents the quantity of products purchased by supplier i in discount stage j.

[0117] A3. Establishment of digital twin model in transaction stage;

[0118] For a product purchased from multiple suppliers, a digital twin model of the transaction stage is established as follows:

[0119] The following formula shows that the total cost of purchasing products from multiple suppliers is the lowest:

[0120]

[0121] Where: y ij represents an integer decision variable with a value of 0 to 1, where a value of 1 indicates that the product is purchased from supplier i in the jth preferential period, and 0 indicates that the product is not purchased from supplier i. i is the price offered by the i-th supplier;

[0122] As shown in the following formula, it means that the number of qualified products purchased is the largest:

[0123]

[0124] Where: q i is the quality of the i-th supplier;

[0125] The following formula represents the largest number of on-time deliveries among the purchased products:

[0126]

[0127] Where: t i is the delivery cycle of the ith supplier;

[0128] As shown below, the number of products that reach the service level is the largest:

[0129]

[0130] Where: s i is the service level satisfaction rate of the i-th supplier;

[0131] As shown in the following formula, the total number of products purchased is equal to the total number of products requested by the demander:

[0132]

[0133] Where: B is the total demand;

[0134] The following formula represents that the purchase volume of each supplier is within the supply capacity of the supplier:

[0135]

[0136] Where: c i is the supply capacity of the ith supplier;

[0137] The following formula indicates that the product purchase quantity obtained by a supplier is consistent with the quantity range of the corresponding discount stage:

[0138] y ij a i(j-1) ≤x ij <y ij a ij ;

[0139] As shown in the following formula, the price of the purchased product can only be purchased at a certain discount stage and cannot occupy multiple price stages:

[0140]

[0141] The following is a 0-1 variable representing an integer:

[0142]

[0143] The following formula represents the actual situation, and the purchase volume is greater than or equal to zero:

[0144] x ij ≥0;

[0145] In the actual procurement process, the purchase quantity of items is also an integer. According to the actual situation, the constraint expression is added as follows. In order to reduce the supply risk of a single source, the order quantity of each supplier is greater than or equal to 15%, that is:

[0146]

[0147] The sub-order data of this product is obtained from the above, and the remaining multiple products form sub-orders in the same way.

[0148] By establishing a digital twin model for the transaction stage, the potential for future cooperation is measured based on the supplier's capacity ceiling, the price discounts given, and the data generated during the cooperation with the supplier, product orders can be reasonably allocated among suppliers to ensure the company's product supply capabilities. Especially for the procurement of large products consisting of multiple products, the digital twin model for the transaction stage can make scientific procurement decisions with high accuracy and practicality.

[0149] Finally, the sub-order data is input into the supplier selection management system for supplier assessment, evaluation and rating;

[0150] The specific steps are:

[0151] F1. Import sub-order data into the management module through the collaborative platform to visualize the purchase order business, purchase process and payment process, improve purchase performance management, and help build value-oriented organizational goals;

[0152] F2. With the increase in the number of orders of magnitude and the complexity of the system process, we can flexibly use intelligent digital methods such as data analysis, big data analysis with high computing power, artificial intelligence machine learning, etc. to provide strong technical support for market analysis and forecasting and internal management. We can link the product category management in the management module with the KPI in the enterprise ERP module, and use the collaborative platform to realize the management of visualized business, budget and financial statements, and track costs;

[0153] F3. In the management module, a supplier evaluation decision-making system is established based on digitalization / information intelligence / automation indicators, quality management, technical level, cooperative relationship, risk indicators, time control sensitivity, digital service level, and overall business conditions. The details are as follows:

[0154] Table Supplier Evaluation Decision System

[0155]

[0156] In the table, multiple first-level indicator systems are divided into proportions according to the company's situation. Similarly, multiple second-level indicator systems in the first-level indicator system are divided into proportions according to the company's focus. According to the behavior of the product and its supplier, a periodic percentage score is given. Thus, a product and its supplier will have a corresponding score, and the supplier will be rated according to the score to achieve hierarchical management of suppliers.

[0157] By establishing a supplier selection management system, in the early stage, the products and their suppliers introduced by market data mining and prediction are scientifically matched with digital twins to select multiple suitable suppliers. In the later stage, the sub-order data of multiple suppliers formed by the digital twin model in the transaction stage are fed back to the management module in the supplier selection management system to conduct supplier assessment, evaluation and rating, forming a circular route for supplier selection and management, synchronizing feedback between various procurement stages, strengthening the correlation between various procurement stages, ensuring procurement quality, and improving procurement efficiency.

[0158] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A procurement life cycle management method based on digital twins, characterized in that: It includes the following: first, analyze the procurement demand, analyze the records from different processes, and establish the digital twin of the demand analysis stage. Then, by inputting the digital twin into the supplier selection management system, select multiple suitable products and their suppliers, and then establish the digital twin model of the transaction stage, reasonably allocate the orders among multiple suppliers, form sub-order data, and finally input the sub-order data into the supplier selection management system to conduct supplier assessment, evaluation and rating; The establishment of the digital twin in the demand analysis phase specifically includes the following steps: S1. Use the "demand-configuration" relationship table to determine the configuration modules that the product will use at the beginning of procurement and form a configuration list; S2, after discussing and recording different processes, a digital twin is formed; The establishment of the transaction phase digital twin model specifically includes the following steps: A1. Main principles for establishing a digital twin model at the transaction stage; A2. Factors that increase the discount of tiered prices; A3. Establishment of digital twin model in the transaction stage.

2. A procurement life cycle management method based on digital twins according to claim 1, characterized in that: In step S1, the "demand-configuration" relationship table includes the following aspects: Before the product is used, a configuration designed to meet the user's initial needs will be generated; During product use, configuration changes will occur to meet the user's increased needs; After the product is used, it will have a configuration designed to meet the needs of scrapping and recycling; Integrate requirements and configuration information across multiple product generations.

3. According to the digital twin-based procurement life cycle management method of claim 1, it is characterized by: In step S2, the different processes are discussed and recorded, specifically including the following steps: S21. Records of different candidate products of the same purchaser; S22. Cooperation records between different purchasing personnel; S23, product summary and establishment of its digital twin; S24. Digital twin review.

4. According to the digital twin-based procurement life cycle management method of claim 1, it is characterized by: In step A1, the main principles include the following aspects: Objective function: Minimize total purchase cost, maximize the number of qualified products, maximize the number of on-time deliveries, and maximize the number of products that meet service standards; Constraints: total purchase quantity = total demand quantity, the supply quantity of a single supplier does not exceed its maximum supply capacity, the supply quantity of each supplier matches its corresponding price range, and the purchase quantity is greater than or equal to zero.

5. According to the digital twin-based procurement life cycle management method of claim 1, it is characterized by: In step A2, the price discount is used as a mechanism to coordinate the interests of the buyer and seller, and is calculated by using a full quantity discount. The price discount is expressed by the formula: Where: i is the number of suppliers, j is the discount stage, x i is the order proportion of the i-th supplier, r ij represents the price discount of the product purchased by supplier i in discount stage j, a ij represents the upper limit of the product purchased by supplier i in the jth discount stage, x ij It represents the quantity of products purchased by supplier i in discount stage j.

6. The procurement life cycle management method based on digital twin according to claim 1 is characterized by: In step A3, for a product purchased from multiple suppliers, a digital twin model of the transaction stage is established according to the situation of granting phased discounts based on the purchase volume, as follows: The following formula shows that the total cost of purchasing products from multiple suppliers is the lowest: Where: y ij represents an integer decision variable with a value of 0 to 1, where a value of 1 indicates that the product is purchased from supplier i in the jth preferential period, and 0 indicates that the product is not purchased from supplier i. i is the price offered by the i-th supplier; As shown in the following formula, it means that the number of qualified products purchased is the largest: Where: q i is the quality of the i-th supplier; The following formula represents the largest number of on-time deliveries among the purchased products: Where: t i is the delivery cycle of the ith supplier; As shown below, the number of products that reach the service level is the largest: Where: s i is the service level satisfaction rate of the i-th supplier; As shown in the following formula, the total number of products purchased is equal to the total number of products requested by the demander: Where: B is the total demand; The following formula represents that the purchase volume of each supplier is within the supply capacity of the supplier: Where: c i is the supply capacity of the ith supplier; The following formula indicates that the product purchase quantity obtained by a supplier is consistent with the quantity range of the corresponding discount stage: and ij to i(j-1) ≤x ij <y ij to ij ; As shown in the following formula, the price of the purchased product can only be purchased at the jth discount stage: The following is a 0-1 variable representing an integer: The following formula represents the actual situation, and the purchase volume is greater than or equal to zero: x ij ≥0； In the actual procurement process, the purchase quantity of items is an integer. According to the actual situation, the constraint expression is added as follows. In order to reduce the supply risk of a single source, the order quantity of each supplier is greater than or equal to 15%, that is: The sub-order data of this product is obtained from the above, and the remaining multiple products form sub-orders in the same way.

7. The procurement life cycle management method based on digital twin according to claim 1 is characterized by: The supplier selection management system includes a management module, a collaborative platform and an enterprise ERP module; The management module is used for market analysis, demand forecasting, customer and channel resource management, communication, supplier matching, evaluation, and performance assessment; The collaborative platform integrates process automation, data import, full-text search, report charts, forms, instant messaging components and mobile phone SMS components; The enterprise ERP module is an integrated system applied within the enterprise, covering customer, project, inventory and procurement supply production management.

8. The procurement life cycle management method based on digital twin according to claim 1 is characterized by: In the step of selecting a plurality of suitable products and their suppliers by inputting the digital twin into the supplier selection management system, the specific steps are: E1, market data mining and forecasting, introducing external potential suppliers; E2. After evaluating the supplier through the management module, the supplier is admitted to form a supplier information pool; E3, the collaborative platform connects the management module and the enterprise ERP module, automatically updates and synchronizes ERP data, achieves data visualization, and manages supplier information; E4. Select suitable products and their suppliers by matching the digital twin with the supplier product information pool.

9. The procurement life cycle management method based on digital twin according to claim 1 is characterized by: In the above-mentioned inputting the sub-order data into the supplier selection management system to conduct supplier assessment, evaluation and rating, the specific steps are as follows: F1. Import sub-order data into the management module through the collaborative platform to visualize the purchase order business, procurement process and payment process; F2. Link product category management in the management module with KPI in the enterprise ERP module, and use the collaborative platform to achieve visual management of business, budget and financial statements and track costs; F3. In the management module, a supplier evaluation and decision-making system is established based on digitalization / information intelligence / automation indicators, quality management, technical level, cooperative relationship, risk indicators, time control sensitivity, digital service level, and overall business conditions.

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