Supply chain optimization method and system based on procurement source searching

Abstract

The invention provides a supply chain optimization method and system based on procurement source searching, and relates to the technical field of supply chain optimization, and the method comprises the steps: calling historical procurement data, and building a historical procurement data set; market matching is carried out, and a market data set is established; carrying out market general risk evaluation on the purchase demand, setting a general risk level, and configuring a supplier number interval; comprehensive supply evaluation of the cooperative suppliers is carried out, and a supply stability coefficient is established; calling an evaluation model according to the screening result of the non-cooperative suppliers, executing adaptation evaluation of the non-cooperative suppliers, and establishing an adaptation evaluation result; adaptive optimization of the suppliers is carried out, and an adaptive optimization result is established; and carrying out supply chain optimization. According to the method and the device, the technical problem that the supplier performance cannot be comprehensively evaluated due to the lack of analysis on the supplier multi-dimensional data in most of the prior art can be solved, the technical goal of analyzing the supplier multi-dimensional data is realized, and the technical effect of comprehensively evaluating the supplier capability is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of supply chain optimization, and in particular to a supply chain optimization method and system based on procurement sourcing. Background Art

[0002] With the rapid development of industrial automation and intelligent technology, enterprises' demand for supply chain management has become increasingly complex, especially in the procurement process. Enterprises need to maintain close cooperative relationships with multiple suppliers to ensure the continuity of production and the stability of product quality.

[0003] At present, the existing supply chain management technology still has many shortcomings in dealing with this complexity, which makes it difficult for the efficiency and response speed of the supply chain to reach the expected level. First, most of the existing supply chain management systems rely on fixed supplier structures and preset procurement processes. This rigid management method is difficult to quickly adapt to changes in market demand. When the market environment changes, or when enterprises need to respond quickly to customer needs, they cannot adjust supplier selection and procurement plans in time, resulting in slow supply chain response and missed market opportunities. Secondly, the existing supplier evaluation methods are mainly based on the analysis of historical data, and lack the ability to predict the performance of suppliers in the future market environment, making it difficult for enterprises to accurately evaluate the adaptability and risk tolerance of suppliers when facing sudden risks or market fluctuations, thereby increasing the risk of supply chain disruptions. Finally, in the process of supplier adaptation and optimization, there is a lack of comprehensive analysis capabilities for multi-dimensional data, especially when it comes to multiple aspects such as supplier quality, risk, cost and supply capacity, which often cannot be effectively integrated, resulting in insufficient scientificity and rationality in supplier selection. Different suppliers perform differently in their respective fields, and single-dimensional analysis often cannot fully reflect the comprehensive capabilities of suppliers, resulting in the possibility that enterprises have selected suppliers that perform well in one dimension but have major defects in other aspects, ultimately affecting the stability and efficiency of the entire supply chain.

[0004] In summary, there are technical problems in the existing technologies, such as the lack of comprehensive analysis of multi-dimensional data of suppliers, which leads to the inability to comprehensively evaluate the comprehensive performance of suppliers during the supplier adaptation and optimization process, further affecting the stability of the supply chain and the overall operational efficiency. Summary of the invention

[0005] The purpose of this application is to provide a supply chain optimization method and system based on procurement sourcing, so as to solve the technical problem that most of the existing technologies lack comprehensive analysis of multi-dimensional data of suppliers, resulting in the inability to comprehensively evaluate the comprehensive performance of suppliers during the supplier adaptation optimization process, further affecting the stability of the supply chain and the overall operational efficiency.

[0006] In view of the above problems, the present application provides a supply chain optimization method and system based on procurement sourcing.

[0007] In the first aspect, the present application provides a supply chain optimization method based on procurement sourcing, which is implemented through a supply chain optimization system based on procurement sourcing, including: obtaining procurement requirements, and using the procurement requirements as a call label to execute historical procurement data calls and establish a historical procurement data set; performing market matching based on the procurement requirements to establish a market data set, wherein the market data set includes market price data and supplier data; configuring a risk detection channel, performing a market general risk assessment of procurement requirements based on the risk detection channel, setting a general risk level, and configuring a supplier quantity range based on the general risk level; performing a comprehensive supply evaluation of cooperative suppliers through the historical procurement data set to establish a supply stability coefficient; screening non-cooperative suppliers based on the market data set, calling an evaluation model based on the non-cooperative supplier screening results, performing an adaptation evaluation of non-cooperative suppliers, and establishing an adaptation evaluation result, wherein the adaptation evaluation includes a basic adaptation evaluation and a risk adaptation evaluation; performing supplier adaptation optimization based on the adaptation evaluation results, the supplier quantity range, and the supply stability coefficient to establish an adaptation optimization result; and optimizing the supply chain based on the adaptation optimization result.

[0008] In the second aspect, the present application also provides a supply chain optimization system based on procurement sourcing, which is used to execute a supply chain optimization method based on procurement sourcing as described in the first aspect, including: a historical procurement data set establishment module, the historical procurement data set establishment module is used to obtain procurement requirements, and use the procurement requirements as call tags to execute historical procurement data calls and establish historical procurement data sets; a market data set establishment module, the market data set establishment module is used to perform market matching based on the procurement requirements and establish a market data set, the market data set includes market price data and supplier data; a supplier quantity interval configuration module, the supplier quantity interval configuration module is used to configure a risk detection channel, perform a general market risk assessment of procurement requirements based on the risk detection channel, set a general risk level, and configure the general risk level with the general risk level Supplier quantity interval; supply stability coefficient establishment module, the supply stability coefficient establishment module is used to conduct comprehensive supply evaluation of cooperative suppliers through the historical procurement data set, and establish a supply stability coefficient; adaptation evaluation result establishment module, the adaptation evaluation result establishment module is used to screen non-cooperative suppliers according to the market data set, call the evaluation model with the non-cooperative supplier screening results, perform adaptation evaluation of non-cooperative suppliers, and establish adaptation evaluation results, the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; adaptation optimization result establishment module, the adaptation optimization result establishment module is used to perform supplier adaptation optimization according to the adaptation evaluation results, supplier quantity interval, and supply stability coefficient, and establish adaptation optimization results; supply chain optimization module, the supply chain optimization module is used to optimize the supply chain according to the adaptation optimization results.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: By acquiring procurement requirements and using the procurement requirements as call tags, historical procurement data calls are executed to establish a historical procurement data set; market matching is performed based on the procurement requirements to establish a market data set, and the market data set includes market price data and supplier data; a risk detection channel is configured, and a general market risk assessment of procurement requirements is performed based on the risk detection channel, a general risk level is set, and the supplier quantity range is configured with the general risk level; a comprehensive supply assessment of cooperative suppliers is performed through the historical procurement data set to establish a supply stability coefficient; non-cooperative suppliers are screened according to the market data set, and an evaluation model is called with the screening results of non-cooperative suppliers to perform adaptation evaluation of non-cooperative suppliers and establish adaptation evaluation results, and the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; supplier adaptation optimization is performed according to the adaptation evaluation results, supplier quantity range, and supply stability coefficient, and adaptation optimization results are established; supply chain optimization is performed according to the adaptation optimization results to achieve the technical goal of comprehensive analysis and optimization of multi-dimensional data of suppliers, and to achieve the technical effect of comprehensively evaluating the comprehensive capabilities of suppliers, thereby improving the stability of the supply chain and operational efficiency.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A flowchart of a supply chain optimization method based on procurement sourcing for this application; Figure 2 This is a structural diagram of a supply chain optimization system based on procurement sourcing for this application.

[0013] Description of reference numerals: A historical purchase data set establishment module 11, a market data set establishment module 12, a supplier quantity interval configuration module 13, a supply stability coefficient establishment module 14, an adaptation evaluation result establishment module 15, an adaptation optimization result establishment module 16, and a supply chain optimization module 17. DETAILED DESCRIPTION

[0014] This application provides a supply chain optimization method and system based on procurement sourcing, which solves the technical problem that most of the existing technologies lack comprehensive analysis of multi-dimensional data of suppliers, resulting in the inability to comprehensively evaluate the comprehensive performance of suppliers during the supplier adaptation optimization process, further affecting the stability of the supply chain and the overall operational efficiency. The technical goal of achieving comprehensive analysis and optimization of multi-dimensional data of suppliers is achieved, and the comprehensive ability of suppliers is comprehensively evaluated, thereby improving the stability of the supply chain and the technical effect of operational efficiency.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] For example, please refer to the attached Figure 1 The present application provides a supply chain optimization method based on procurement sourcing, which is applied to a supply chain optimization system based on procurement sourcing, and specifically includes the following steps: Step 1: Obtain the purchase demand, and use the purchase demand as a call tag to execute the historical purchase data call and establish a historical purchase data set.

[0017] Specifically, by obtaining procurement needs, identifying and collecting various demand information generated by the company in the procurement process, which may include material type, procurement quantity, delivery time, supplier requirements, etc., the acquired procurement needs will be used as call tags to identify and classify different procurement requests, and then execute historical procurement data calls. By calling the company's past procurement data, the corresponding historical records are analyzed and processed to establish a comprehensive historical procurement data set. The historical procurement data set includes various historical information related to procurement needs. By analyzing the historical procurement data set, it can provide companies with a reference for procurement decisions, optimize the procurement sourcing process, and improve the efficiency of supply chain management, thereby achieving comprehensive optimization and management of procurement activities.

[0018] Step 2: Perform market matching based on the procurement demand and establish a market data set, wherein the market data set includes market price data and supplier data.

[0019] Specifically, the procurement demand is matched and associated with various data in the market to form a detailed market data set. First, by analyzing the procurement demand, the specific information such as the type, quantity, specification, and delivery date of the materials that the enterprise needs to purchase is clarified. Then, the market data such as market price and supplier data that match the procurement demand are searched and screened in the market to obtain the market data set. Market price data is the price information of products or services provided by different suppliers in the market, including historical price trends, current market quotations, price differences in different regions, etc., which is used to provide accurate reference in the procurement decision-making process. Supplier data contains detailed information of various suppliers, such as the basic information of suppliers, past cooperation records, credit ratings, supply capabilities, delivery time, after-sales service, etc., which can provide enterprises with important basis for selecting suitable suppliers. Establishing a market data set enables enterprises to find the most suitable market resources in the shortest time, providing a comprehensive and systematic data support for the procurement activities of enterprises, thereby helping enterprises better cope with procurement challenges and changes in demand in the market.

[0020] Step 3: Configure a risk detection channel, conduct a general market risk assessment of procurement needs based on the risk detection channel, set a general risk level, and configure a supplier quantity range based on the general risk level.

[0021] Specifically, by configuring the risk detection channel for risk detection, the various market risks that suppliers may face when meeting procurement needs are continuously monitored and evaluated. The risk detection channel is responsible for collecting and analyzing data on the performance of suppliers in the market to ensure the comprehensiveness and real-time nature of risk assessment. Next, based on the risk detection channel, a general market risk assessment is conducted on procurement needs, including analysis of multi-dimensional information such as the market environment, the supplier's historical performance, and current market trends, in order to fully understand the risks that suppliers may face when meeting procurement needs. Through data analysis, a comprehensive evaluation of risks is conducted, and a general risk level is derived, which reflects the risk status of suppliers in the current market environment. The supplier quantity interval is configured according to the general risk level. That is, if the general risk level is high, more suppliers may be configured to disperse the risk, while if the risk level is low, the number of suppliers may be reduced, thereby optimizing the efficiency and cost control of procurement management, ensuring that the number of suppliers at different risk levels is arranged in accordance with the needs and market conditions of the enterprise, and realizing the reasonable configuration of the number of suppliers, helping enterprises to effectively manage risks in the procurement process.

[0022] Step 4: Conduct a comprehensive supply evaluation of the cooperative suppliers using the historical procurement data set and establish a supply stability coefficient.

[0023] Specifically, the historical procurement data set of the enterprise covers various performance information of suppliers in past cooperation, including delivery timeliness, product quality, price stability, after-sales service response speed and other dimensions. Through the analysis of historical procurement data, the performance of suppliers under different conditions is comprehensively and objectively evaluated, so as to conduct a comprehensive supply evaluation. The comprehensive evaluation process is not only a simple data statistics, but also involves an in-depth interpretation and analysis of the supplier's past performance, identifying various factors that affect the supplier's performance, which may include market fluctuations, suppliers' internal management capabilities, changes in raw material prices, etc. In the evaluation process, different weights are given to each indicator according to the importance of different indicators, so as to obtain a comprehensive score, which is the supplier's comprehensive supply evaluation result. Based on the comprehensive evaluation results, the supply stability coefficient is further calculated and established. The supply stability coefficient reflects the supplier's ability to maintain stable supply under various environments. The establishment of the supply stability coefficient is not a one-time thing, but is continuously updated and adjusted over time and with the accumulation of new data to ensure that it can always accurately reflect the supplier's current performance. Therefore, through a comprehensive supply comprehensive evaluation, the supply stability coefficient is finally obtained. The supply stability coefficient provides a reliable reference for enterprises when selecting and managing suppliers, helping enterprises make more informed decisions in future procurement processes.

[0024] Step 5: Screen non-cooperative suppliers according to the market data set, call the evaluation model with the non-cooperative supplier screening results, perform adaptation evaluation of non-cooperative suppliers, and establish adaptation evaluation results. The adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation.

[0025] Specifically, potential non-cooperative suppliers are screened based on the market data set, which contains a wide range of market information, such as the market performance, product types, price fluctuations, quality records, etc. of various suppliers. Through the analysis and screening of the market data set, non-cooperative suppliers that are likely to become partners in the market are identified. The screening process may involve multiple standards and conditions, such as the supplier's reputation, market share, product quality, etc., to ensure that the screened non-cooperative suppliers meet the procurement needs of the enterprise. Next, a pre-set evaluation model is called based on the screening results to conduct an adaptation assessment on the non-cooperative suppliers, and comprehensively evaluate the various capabilities of these suppliers to determine whether they have the potential to become partners. The adaptation assessment includes basic adaptation assessment and risk adaptation assessment. The basic adaptation assessment focuses on the basic capabilities of the supplier, such as production capacity, quality control capability, delivery capability, etc., to ensure that the supplier can meet the basic needs of the enterprise. The risk adaptation assessment focuses on analyzing the performance of suppliers in the face of market fluctuations, uncertainties and potential risks. The assessment can help enterprises identify suppliers with better performance in risk management. Through the two-part evaluation, an adaptation evaluation result is finally established, which provides scientific data support for enterprises when selecting new cooperative suppliers, helping enterprises make more wise and effective choices in future procurement decisions.

[0026] Step 6: Perform supplier adaptation and optimization based on the adaptation evaluation results, supplier quantity range, and supply stability coefficient, and establish an adaptation and optimization result.

[0027] Specifically, the supplier adaptation and optimization is carried out according to the adaptation evaluation results, the supplier quantity range, and the supply stability coefficient, that is, the best choice that best meets the needs of the enterprise is found among many suppliers. The adaptation and optimization process is not a simple choice, but by balancing the relationship between the adaptation evaluation results, the supplier quantity range, and the supply stability coefficient, it ensures that the selected suppliers can not only meet the actual needs of the enterprise, but also maintain stability and reliability in long-term cooperation, and obtain the adaptation and optimization results, providing the enterprise with an optimized list of suppliers, which can provide the enterprise with the best services and products in different market environments. The enterprise can ensure that the most suitable supplier is selected in the supply chain management, so as to obtain the maximum benefit in future cooperation.

[0028] Step 7: Optimize the supply chain based on the adaptation optimization results.

[0029] Specifically, after obtaining the supplier adaptation optimization results, the entire supply chain is optimized and adjusted. First, the enterprise will re-evaluate the existing supplier structure based on the adaptation optimization results and consider whether it is necessary to adjust the supplier selection, including adding new suppliers, eliminating inappropriate suppliers, or reallocating the supplier's supply ratio, etc., to ensure that the enterprise can match the most suitable supplier in every link of the entire supply chain, thereby maximizing the overall efficiency of the supply chain. Secondly, supply chain optimization also involves adjustments to the supplier cooperation process. According to the optimization results, the enterprise may adjust the cooperation model with the supplier, such as changing the procurement frequency, optimizing inventory management, and improving the supplier's performance evaluation standards, so as to improve the response speed and flexibility of the entire supply chain. In addition, during the optimization process, the enterprise may also need to re-evaluate the risk management strategy of the supply chain, identify and respond to possible supply chain risks based on the new supplier structure and cooperation model, and ensure that the supply chain can still maintain stability and risk resistance under the new conditions. Finally, through the in-depth application of the adaptation optimization results, the supply chain is made more efficient, stable and flexible to adapt to market changes and the needs of enterprise development. The enterprise can ensure that each link of the supply chain can maximize its role, thereby improving the competitiveness and market adaptability of the overall supply chain.

[0030] The supply chain optimization method based on procurement sourcing is applied to a supply chain optimization system based on procurement sourcing, which can achieve the technical goal of comprehensive analysis and optimization of multi-dimensional data of suppliers, and achieve the technical effect of comprehensively evaluating the comprehensive capabilities of suppliers, thereby improving the stability of the supply chain and operational efficiency.

[0031] Furthermore, the present application also includes: Call the risk adaptation network to perform risk adaptation assessment. The risk adaptation network is the calculation network of the assessment model, as follows: ; Among them, CRE represents the risk adaptation assessment result, E is the moral score, , P is the total number of positive mentions, PM p is the Pth positive mention, N is the total number of negative mentions, NM n is the nth negative mention, R is the risk resistance score, , S is the total number of simulation scenarios, s represents any simulation scenario, SP s Represents the survival probability of the sth simulation scenario, RS s represents the recovery speed of the sth simulation scenario, I is the innovation score, , m represents the total number of patents of the supplier, PI k represents the impact score of the kth patent, q is the total number of research publications of the supplier, RP j represents the score of the jth research publication, M is the market sensitivity score, , T is the total number of time periods, MD t Characterizes the matching degree between product and market demand in the tth time period, PA t represents the flexibility of product development in the tth time period, D is the social network score, , DC represents degree centrality, CC represents closeness centrality, BC represents betweenness centrality, and C represents cultural fit score; the adaptation assessment results are established based on the risk adaptation assessment results.

[0032] Specifically, calling the risk adaptation network for risk adaptation assessment means using an established risk adaptation network to conduct risk assessment on a specific situation or supplier, and then determine its adaptability or resistance when facing different risk factors. By analyzing and processing various types of data, the corresponding risk assessment results are obtained to provide data support for subsequent decision-making.

[0033] The risk adaptation network is the computational network of the assessment model. That is, as a part of the assessment model, the risk adaptation network mainly realizes the adaptive assessment of different risk factors through calculation and data processing.

[0034] The risk adaptation evaluation result CRE reflects the overall adaptability of the evaluated supplier in the face of risks. The ethics score E is used to evaluate the supplier's adaptability and performance at the ethical level. The ethics score E is derived from the analysis of ethics-related behaviors or records, and is intended to reflect the supplier's overall performance in the face of ethical risks. Among them, the more total number of positive mentions P, the more positive the supplier's ethical performance, which can improve the ethics score. The total number of positive mentions P is calculated by counting the supplier's positive performance in relevant scenarios or the frequency of being positively mentioned. The Pth positive mention PM p Refers to the specific circumstances of each positive mention. The total number of negative mentions N refers to the total number of times the supplier was negatively mentioned during the evaluation process. The more negative mentions, the worse the supplier's ethical performance, thus reducing the ethical score. The nth negative mention NM n are specific events or instances that are mentioned negatively.

[0035] The risk resistance score R is used to measure the supplier's resistance or adaptability when facing various risk factors. The risk resistance score R is calculated by simulating different risk scenarios and analyzing the supplier's performance in different risk scenarios, thereby reflecting the supplier's overall risk resistance. The total number of simulation scenarios S means that the more simulation scenarios there are, the more comprehensive and accurate the evaluation is. Any simulation scenario s is a hypothetical scenario used to evaluate the supplier's performance in a specific risk situation. By analyzing the performance of the simulation scenario, the supplier's adaptability under different risks can be obtained. The survival probability SP of the sth simulation scenarios Indicates the supplier's ability to survive or continue in the sth simulation scenario. The higher the survival probability, the better the supplier's risk resistance performance in the sth simulation scenario. The recovery speed of the sth simulation scenario RS s It is used to measure the speed at which a supplier recovers to normal after experiencing a risk event in a simulated scenario. The faster the recovery speed, the stronger the supplier's recovery ability.

[0036] The innovation score I is used to measure the innovation ability of suppliers in dealing with risks, including technological innovation, product innovation or new methods to solve problems. The higher the innovation score I, the stronger the innovation ability in dealing with risks. The total number of patents m of a supplier is an important indicator to measure the supplier's technological innovation ability. The more patents a supplier has, the more outstanding its performance in technological innovation is, and thus the higher the innovation score may be. The influence score PI of the kth patent k The specific impact score of each patent in the total number of patents reflects the importance and wide application of the patent in the industry or market. The higher the impact score, the greater the role of the patent in promoting innovation. The total number of research publications q of the supplier reflects the supplier's activeness in academic research and technological innovation. The more research published, the stronger the supplier's technical research capabilities in related fields, thereby improving its innovation score. The score of the jth research publication RP j The specific score of each research paper in the total number of research publications is broken down, reflecting the quality, influence and recognition of the research in the industry. The higher the research publication score, the greater the contribution of the research to the innovation score.

[0037] The market sensitivity score M is used to evaluate the supplier's responsiveness and adaptability to market demand in a rapidly changing market environment. It is calculated based on the supplier's response to market changes in different time periods and reflects the supplier's market acumen. The total number of time periods T refers to the number of different market time periods covered in the evaluation process. Through the analysis of multiple time periods, we can have a more comprehensive understanding of the supplier's market responsiveness. The matching degree between the product and market demand in the tth time period MD t , that is, in each time period, the matching degree between the supplier's products and market demand is evaluated. The higher the matching degree, the more accurate the supplier's grasp of market demand in that time period, and thus the higher the market sensitivity score. The flexibility of product development in the tth time period PA t , that is, the flexibility of product development. Flexibility reflects the supplier's ability to respond and adjust quickly when facing market changes. The stronger the flexibility, the more able the supplier is to adapt to market changes in a short period of time and make corresponding product adjustments.

[0038] The social network score D is used to measure the influence and connectivity of suppliers in social networks. It is evaluated based on the supplier's position in the social network, the breadth of the relationship network, and the interaction with other nodes, reflecting the supplier's social adaptability. Degree centrality DC refers to the number of nodes that the supplier is directly connected to in the social network. The higher the degree centrality DC, the more direct connections the supplier has in the network, which means stronger social ability and information dissemination ability. Closeness centrality CC is used to measure the average shortest path length between the supplier and other nodes in the social network. The higher the closeness centrality CC, the closer the supplier's position in the network is to the central node, which means that the supplier can obtain information and resources more quickly. Betweenness centrality BC is used to measure the supplier's ability to serve as a bridge or intermediary between other nodes in the network. The higher the betweenness centrality BC, the stronger the supplier's regulation and resource allocation ability in the network, which is an important manifestation of social adaptability. The cultural fit score C is used to evaluate the cultural adaptability and fit between the supplier and the target environment or market. It is usually calculated based on the match between the supplier's cultural background, values ​​and the cultural characteristics of the target environment. The higher the cultural fit, the easier it is for the supplier to integrate into and adapt to the target environment.

[0039] Establish the adaptation assessment results based on the risk adaptation assessment results, that is, according to the calculation results of various scores and evaluation indicators, obtain the final adaptation assessment results, comprehensively consider various risk factors and the adaptability of suppliers, provide guidance for subsequent decisions or actions, and provide a comprehensive risk adaptation assessment result.

[0040] Furthermore, the present application also includes: The basic adaptation network is called to perform basic adaptation evaluation and generate basic adaptation evaluation results. The basic adaptation network is a computing network of the evaluation model. The evaluation characteristics of the basic adaptation network include quality characteristics and production capacity characteristics. The adaptation evaluation results are established according to the risk adaptation evaluation results and the basic adaptation evaluation results.

[0041] Specifically, the basic adaptation network is called to conduct basic adaptation assessment, that is, to evaluate the basic capabilities of the supplier and determine the supplier's adaptability or adaptability under basic conditions. It relies on the computing function of the basic adaptation network to generate the supplier's basic adaptation assessment results by analyzing relevant data, which reflects the supplier's performance and capabilities under basic conditions, especially the adaptability in terms of quality and production capacity, and provides support for decision-making.

[0042] The basic adaptation network is the calculation network of the evaluation model, that is, as a part of the evaluation model, the basic adaptation network is responsible for calculating and analyzing the basic capabilities of suppliers. The basic adaptation network obtains the basic adaptation evaluation results of suppliers by processing and integrating various evaluation features.

[0043] The evaluation characteristics of the basic adaptation network include quality characteristics and production capacity characteristics. Quality characteristics evaluate the quality performance of suppliers when providing products or services, while production capacity characteristics measure the production efficiency and capacity of suppliers. Quality characteristics and production capacity characteristics jointly affect the basic adaptation evaluation results.

[0044] The adaptation assessment result is established based on the risk adaptation assessment result and the basic adaptation assessment result, that is, by combining the risk adaptation assessment result and the basic adaptation assessment result of the supplier, a comprehensive adaptation assessment result is finally formed. The adaptation assessment result integrates the adaptability of the supplier under different conditions, provides a comprehensive supplier adaptation assessment, and provides an important basis for further decision-making or supplier selection.

[0045] By calling the basic adaptation network and risk adaptation network to evaluate the basic conditions and risk conditions of suppliers, and combining the evaluation results, we can finally get a comprehensive adaptation evaluation result to help enterprises make more comprehensive and accurate supplier selection.

[0046] Furthermore, the present application also includes: The demand quantity of the procurement demand is called through the risk detection channel, and a market-based supply risk assessment is performed based on the demand quantity to establish a demand quantity risk level; the demand quality of the procurement demand is called through the risk detection channel, and a market-based supply adaptation risk assessment is performed based on the demand quality to establish a demand quality risk level; the competition risk existing in the demand subject of the procurement demand is called through the risk detection channel, and a demand competition risk level is established based on the competition risk; a general risk level is set based on the demand quantity risk level, demand quality risk level, and demand competition risk level.

[0047] Specifically, the demand quantity of procurement demand is called through the risk detection channel to obtain and call the supplier's demand quantity information in the procurement demand. The procurement demand quantity includes the quantity of materials or services that the supplier needs to provide, ensuring that subsequent risk assessment is based on accurate demand data.

[0048] Conduct a market-based supply risk assessment based on demand, establish a demand risk level, and then conduct a supply risk assessment based on the market environment to assess whether suppliers can supply materials or services according to demand, and establish a corresponding demand risk level. The demand risk level reflects the possible risks that suppliers may face in meeting demand.

[0049] The demand quality of procurement requirements is called through the risk detection channel to obtain and call the supplier's demand quality information in the procurement requirements. The demand quality of procurement requirements involves the quality standards or requirements of the products or services provided by the supplier, ensuring that the subsequent risk assessment has a reliable quality data foundation.

[0050] Conduct market-based supply adaptation risk assessment based on demand quality, establish demand quality risk level, and then conduct supply adaptation risk assessment under the market environment to evaluate the adaptability of suppliers in meeting quality standards and establish a corresponding demand quality risk level. The demand quality risk level reflects the risks that suppliers may face in terms of quality.

[0051] The competitive risks existing in the demand entities of procurement demand are called through the risk detection channel, and the competitive risk information related to procurement demand is obtained and called. Specifically, the competitive risk reflects the competitive pressure or potential threats faced by suppliers in the market, and provides data support for establishing the demand competition risk level.

[0052] Establish a demand competition risk level based on competition risks, evaluate the supplier's situation in market competition, and establish a demand competition risk level, which reflects the risk level of suppliers when facing competition and lays the foundation for comprehensive assessment of the supplier's overall risk.

[0053] A general risk level is set based on the demand quantity risk level, demand quality risk level, and demand competition risk level. The general risk level integrates the assessment results of demand quantity, quality, and competition risks to provide a comprehensive supplier risk assessment.

[0054] Through the risk detection channel, we obtain and call up information on different aspects of suppliers in procurement needs, and then evaluate the demand quantity, demand quality and competition risk respectively, establish corresponding risk levels, and finally form a comprehensive universal risk level by integrating the risk levels, which provides a comprehensive basis for evaluating the overall risks of suppliers in different aspects.

[0055] Furthermore, the present application also includes: The key indicators of the cooperative suppliers are extracted through the historical procurement data set to construct a key indicator set; the indicators in the key indicator set are standardized and a covariance matrix is ​​configured; the covariance matrix is ​​subjected to eigenvalue decomposition, and the proportional contribution is screened based on the eigenvalue decomposition result to determine the main key indicators; the supply of the cooperative suppliers is comprehensively evaluated based on the main key indicators, and a supply stability coefficient is established.

[0056] Specifically, key indicators of cooperative suppliers are extracted through historical procurement data sets to construct a key indicator set. That is, key indicators related to cooperation with suppliers are extracted through historical procurement data sets, and a key indicator set containing key indicators related to cooperation with suppliers is constructed. The key indicator set includes the supplier's delivery time, product quality, price stability, etc., and is an important basis for evaluating supplier performance.

[0057] The indicators in the key indicator set are standardized, and the covariance matrix is ​​configured to unify the indicators of different scales into a comparable scale. Then, based on the standardized indicators, the covariance matrix is ​​configured. The covariance matrix is ​​used to measure the correlation between the various indicators.

[0058] Perform eigenvalue decomposition on the covariance matrix, use the eigenvalue decomposition results to perform proportional contribution screening, and determine the main key indicators. That is, performing eigenvalue decomposition on the covariance matrix can obtain the contribution ratio of each indicator in the overall evaluation, and then screen according to the contribution ratio to determine the most important main key indicators for supplier evaluation.

[0059] Use the main key indicators to conduct a comprehensive supply evaluation of the cooperative suppliers and establish a supply stability coefficient. That is, use the screened main key indicators to conduct a comprehensive supply evaluation of the cooperative suppliers and ultimately establish a supply stability coefficient. The supply stability coefficient reflects the stability and reliability of the supplier in the long-term cooperation and is an important result of the comprehensive evaluation of the supplier's performance.

[0060] The key indicators of cooperative suppliers are extracted from the historical procurement data set, and after standardization and covariance matrix configuration, the most important primary key indicators are screened out through eigenvalue decomposition. Finally, the primary key indicators are used to comprehensively evaluate the suppliers and obtain the supply stability coefficient, which provides a scientific basis for comprehensive and objective evaluation of the long-term performance of suppliers.

[0061] Furthermore, the present application also includes: The nearest key indicator is located by a preset ratio threshold, and it is determined whether the nearest key indicator is a selected indicator; the key indicators are sorted in order based on the contribution according to the eigenvalue decomposition result, and if the nearest key indicator is a selected indicator, the next priority indicator of the sequential sorting result is located according to the nearest key indicator; an additional judgment instruction is generated according to the difference between the contribution of the next priority indicator and the contribution of the nearest key indicator; and the main key indicator is determined according to the additional judgment instruction.

[0062] Specifically, a preset ratio threshold is first set, and the preset ratio threshold is used to locate the indicator of the supplier's key indicators that is closest to the preset ratio threshold. Then, it is checked whether the located key indicator has been selected as the evaluation indicator to avoid repeated selection or missing key indicators.

[0063] Based on the results of eigenvalue decomposition, the key indicators are sorted according to their contribution. If the nearest key indicator previously located has been selected, the next key indicator immediately following it in the sorting is automatically selected to ensure that all key indicators with important contributions are reasonably considered.

[0064] After locating the next key indicator, calculate the difference between the contribution value of the next key indicator and the contribution value of the selected nearest key indicator. Based on the contribution difference, generate an additional judgment instruction to further determine whether the selection of key indicators needs to be adjusted or supplemented to ensure the comprehensiveness and accuracy of the evaluation.

[0065] The main key indicators are determined according to the additional judgment instructions, that is, by executing the additional judgment instructions, it is finally determined which supplier key indicators will be selected as the main key indicators. The main key indicators will have the most direct and important impact on the comprehensive evaluation of suppliers, thus providing a scientific basis for decision-making.

[0066] By locating the nearest key indicators, sorting key indicators, and generating additional judgment instructions, the supplier's main key indicators are finally determined to ensure that all important indicators are fully considered and the most accurate comprehensive evaluation of suppliers is carried out based on their contribution.

[0067] Furthermore, the present application also includes: The supply risk of procurement demand is identified based on the adaptive optimization results, and a risk threshold is established; if the risk threshold is higher than the preset risk threshold, the supply chain optimization risk is reported.

[0068] Specifically, supply risks related to procurement needs are identified based on the results of adaptation and optimization. Possible supply chain risks are identified by analyzing the adaptation of suppliers, and then a specific risk threshold is set for the risk, which is used as the standard for subsequent judgment of supplier risks.

[0069] After supplier risk identification, if the calculated risk threshold exceeds the preset standard risk threshold, an alarm will be automatically issued to point out the potential risks in the supply chain optimization process, and promptly remind decision makers to pay attention to high-risk suppliers so that appropriate measures can be taken to control risks or adjust supply chain strategies.

[0070] By ensuring that supplier risks can be identified and managed in a timely manner during the procurement process, it helps companies avoid potential risks in supply chain optimization.

[0071] In summary, the supply chain optimization method based on procurement sourcing provided by this application has the following technical effects: By acquiring procurement requirements and using the procurement requirements as call tags, historical procurement data calls are executed to establish a historical procurement data set; market matching is performed based on the procurement requirements to establish a market data set, and the market data set includes market price data and supplier data; a risk detection channel is configured, and a general market risk assessment of procurement requirements is performed based on the risk detection channel, a general risk level is set, and the supplier quantity range is configured with the general risk level; a comprehensive supply assessment of cooperative suppliers is performed through the historical procurement data set to establish a supply stability coefficient; non-cooperative suppliers are screened according to the market data set, and an evaluation model is called with the screening results of non-cooperative suppliers to perform adaptation evaluation of non-cooperative suppliers and establish adaptation evaluation results, and the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; supplier adaptation optimization is performed according to the adaptation evaluation results, supplier quantity range, and supply stability coefficient, and adaptation optimization results are established; supply chain optimization is performed according to the adaptation optimization results to achieve the technical goal of comprehensive analysis and optimization of multi-dimensional data of suppliers, and to achieve the technical effect of comprehensively evaluating the comprehensive capabilities of suppliers, thereby improving the stability of the supply chain and operational efficiency.

[0072] Embodiment 2: Based on the same inventive concept as the supply chain optimization method based on procurement sourcing in the above embodiment, this application also provides a supply chain optimization system based on procurement sourcing. Figure 2 ,include: A historical purchase data set establishment module 11, the historical purchase data set establishment module 11 is used to obtain purchase requirements, and use the purchase requirements as call tags to execute historical purchase data calls and establish historical purchase data sets; a market data set establishment module 12, the market data set establishment module 12 is used to perform market matching based on the purchase requirements and establish a market data set, the market data set includes market price data and supplier data; a supplier quantity interval configuration module 13, the supplier quantity interval configuration module 13 is used to configure a risk detection channel, perform a market general risk assessment of the purchase requirements based on the risk detection channel, set a general risk level, and configure the supplier quantity interval based on the general risk level; a supply stability coefficient establishment module 14, the supply stability coefficient establishment module Block 14 is used to conduct a comprehensive supply evaluation of cooperative suppliers through the historical procurement data set and establish a supply stability coefficient; an adaptation evaluation result establishment module 15, the adaptation evaluation result establishment module 15 is used to screen non-cooperative suppliers according to the market data set, call the evaluation model with the non-cooperative supplier screening results, perform adaptation evaluation of non-cooperative suppliers, and establish adaptation evaluation results, wherein the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; an adaptation optimization result establishment module 16, the adaptation optimization result establishment module 16 is used to perform supplier adaptation optimization according to the adaptation evaluation results, supplier quantity range, and supply stability coefficient, and establish adaptation optimization results; a supply chain optimization module 17, the supply chain optimization module 17 is used to optimize the supply chain according to the adaptation optimization results.

[0073] Furthermore, the adaptation evaluation result establishing module 15 in the supply chain optimization system based on procurement sourcing is also used for: Call the risk adaptation network to perform risk adaptation assessment. The risk adaptation network is the calculation network of the assessment model, as follows: ; Among them, CRE represents the risk adaptation assessment result, E is the moral score, , P is the total number of positive mentions, PM p is the Pth positive mention, N is the total number of negative mentions, NM n is the nth negative mention, R is the risk resistance score, , S is the total number of simulation scenarios, s represents any simulation scenario, SP s Represents the survival probability of the sth simulation scenario, RS s represents the recovery speed of the sth simulation scenario, I is the innovation score, , m represents the total number of patents of the supplier, PI k represents the impact score of the kth patent, q is the total number of research publications of the supplier, RP j represents the score of the jth research publication, M is the market sensitivity score, , T is the total number of time periods, MD t Characterizes the matching degree between product and market demand in the tth time period, PA t represents the flexibility of product development in the tth time period, D is the social network score, , DC represents degree centrality, CC represents closeness centrality, BC represents betweenness centrality, and C represents cultural fit score; the adaptation assessment results are established based on the risk adaptation assessment results.

[0074] Furthermore, the adaptation evaluation result establishing module 15 in the supply chain optimization system based on procurement sourcing is also used for: The basic adaptation network is called to perform basic adaptation evaluation and generate basic adaptation evaluation results. The basic adaptation network is a computing network of the evaluation model. The evaluation characteristics of the basic adaptation network include quality characteristics and production capacity characteristics. The adaptation evaluation results are established according to the risk adaptation evaluation results and the basic adaptation evaluation results.

[0075] Furthermore, the supplier quantity interval configuration module 13 in the supply chain optimization system based on procurement sourcing is also used for: The demand quantity of the procurement demand is called through the risk detection channel, and a market-based supply risk assessment is performed based on the demand quantity to establish a demand quantity risk level; the demand quality of the procurement demand is called through the risk detection channel, and a market-based supply adaptation risk assessment is performed based on the demand quality to establish a demand quality risk level; the competition risk existing in the demand subject of the procurement demand is called through the risk detection channel, and a demand competition risk level is established based on the competition risk; a general risk level is set based on the demand quantity risk level, demand quality risk level, and demand competition risk level.

[0076] Furthermore, the supply stability coefficient establishing module 14 in the supply chain optimization system based on procurement sourcing is also used for: The key indicators of the cooperative suppliers are extracted through the historical procurement data set to construct a key indicator set; the indicators in the key indicator set are standardized and a covariance matrix is ​​configured; the covariance matrix is ​​subjected to eigenvalue decomposition, and the proportional contribution is screened based on the eigenvalue decomposition result to determine the main key indicators; the supply of the cooperative suppliers is comprehensively evaluated based on the main key indicators, and a supply stability coefficient is established.

[0077] Furthermore, the supply stability coefficient establishing module 14 in the supply chain optimization system based on procurement sourcing is also used for: The nearest key indicator is located by a preset ratio threshold, and it is determined whether the nearest key indicator is a selected indicator; the key indicators are sorted in order based on the contribution according to the eigenvalue decomposition result, and if the nearest key indicator is a selected indicator, the next priority indicator of the sequential sorting result is located according to the nearest key indicator; an additional judgment instruction is generated according to the difference between the contribution of the next priority indicator and the contribution of the nearest key indicator; and the main key indicator is determined according to the additional judgment instruction.

[0078] Furthermore, the supply chain optimization module 17 in the supply chain optimization system based on procurement sourcing is also used for: The supply risk of procurement demand is identified based on the adaptive optimization results, and a risk threshold is established; if the risk threshold is higher than the preset risk threshold, the supply chain optimization risk is reported.

[0079] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The supply chain optimization method based on procurement sourcing and the specific examples in the aforementioned embodiment 1 are also applicable to the supply chain optimization system based on procurement sourcing in this embodiment. Through the aforementioned detailed description of the supply chain optimization method based on procurement sourcing, those skilled in the art can clearly know the supply chain optimization system based on procurement sourcing in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0080] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0081] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A supply chain optimization method based on procurement sourcing, characterized in that: include: Acquire the purchase demand, and use the purchase demand as a call tag to execute the historical purchase data call and establish the historical purchase data set; Perform market matching based on the procurement demand and establish a market data set, wherein the market data set includes market price data and supplier data; Configure a risk detection channel, conduct a general market risk assessment of procurement needs based on the risk detection channel, set a general risk level, and configure a supplier quantity range based on the general risk level; Conduct a comprehensive supply evaluation of cooperative suppliers through the historical procurement data set and establish a supply stability coefficient; Screening non-cooperative suppliers according to the market data set, calling the evaluation model with the non-cooperative supplier screening results, performing adaptation evaluation of the non-cooperative suppliers, and establishing adaptation evaluation results, wherein the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; Perform supplier optimization and adaptation according to the adaptation evaluation results, supplier quantity range, and supply stability coefficient, and establish an adaptation optimization result; Optimize the supply chain based on the adaptive optimization results.

2. A supply chain optimization method based on procurement sourcing as claimed in claim 1, characterized in that: The step of calling the evaluation model with the non-cooperative supplier screening result, performing the adaptation evaluation of the non-cooperative supplier, and establishing the adaptation evaluation result also includes: Call the risk adaptation network to perform risk adaptation assessment. The risk adaptation network is the calculation network of the assessment model, as follows: ； Among them, CRE represents the risk adaptation assessment result, E is the moral score, , P is the total number of positive mentions, PM p is the Pth positive mention, N is the total number of negative mentions, NM n is the nth negative mention, R is the risk resistance score, , S is the total number of simulation scenarios, s represents any simulation scenario, SP s Represents the survival probability of the sth simulation scenario, RS s represents the recovery speed of the sth simulation scenario, I is the innovation score, , m represents the total number of patents of the supplier, PI k represents the impact score of the kth patent, q is the total number of research publications of the supplier, RP j represents the score of the jth research publication, M is the market sensitivity score, , T is the total number of time periods, MD t Characterizes the matching degree between product and market demand in the tth time period, PA t represents the flexibility of product development in the tth time period, D is the social network score, , DC represents degree centrality, CC represents closeness centrality, BC represents betweenness centrality, and C represents cultural fit score; Establish adaptation assessment results based on risk adaptation assessment results.

3. A supply chain optimization method based on procurement sourcing as claimed in claim 2, characterized in that: The establishing of the adaptation assessment result according to the risk adaptation assessment result also includes: Calling a basic adaptation network to perform a basic adaptation evaluation and generate a basic adaptation evaluation result, wherein the basic adaptation network is a computing network of an evaluation model, and the evaluation characteristics of the basic adaptation network include quality characteristics and production capacity characteristics; An adaptation assessment result is established based on the risk adaptation assessment result and the basic adaptation assessment result.

4. A supply chain optimization method based on procurement sourcing as claimed in claim 1, characterized in that: The general market risk assessment of procurement demand based on the risk detection channel and setting the general risk level also includes: Calling the demand quantity of the procurement demand through the risk detection channel, performing a market-based supply risk assessment according to the demand quantity, and establishing a demand quantity risk level; The demand quality of the procurement demand is called through the risk detection channel, and a supply adaptation risk assessment based on the market is performed according to the demand quality to establish a demand quality risk level; The competition risk existing in the demand subject of the procurement demand is called through the risk detection channel, and the demand competition risk level is established according to the competition risk; A general risk level is set according to the demand quantity risk level, demand quality risk level, and demand competition risk level.

5. A supply chain optimization method based on procurement sourcing as claimed in claim 1, characterized in that: The step of comprehensively evaluating the supply of cooperative suppliers through the historical procurement data set and establishing a supply stability coefficient also includes: Extract key indicators of cooperative suppliers through the historical procurement data set to build a key indicator set; Standardizing the indicators in the key indicator set and configuring a covariance matrix; Performing eigenvalue decomposition on the covariance matrix, and screening the proportional contribution based on the eigenvalue decomposition result to determine the main key indicators; Use the above key indicators to conduct a comprehensive evaluation of the supply of cooperative suppliers and establish a supply stability coefficient.

6. A supply chain optimization method based on procurement sourcing as claimed in claim 5, characterized in that: The method of screening the proportion contribution based on the eigenvalue decomposition result to determine the main key indicators also includes: Locating the nearest key indicator through a preset ratio threshold, and determining whether the nearest key indicator is a selected indicator; Sorting the key indicators based on contribution according to the eigenvalue decomposition result, and if the nearest key indicator is a selected indicator, locating the next indicator of the sequential sorting result according to the nearest key indicator; Generate additional judgment instructions based on the difference between the contribution of the next priority indicator and the contribution of the closest key indicator; Determine the primary key indicator based on additional decision instructions.

7. A supply chain optimization method based on procurement sourcing as claimed in claim 1, characterized in that: Also includes: Identify supply risks of procurement needs based on the results of adaptive optimization and establish risk thresholds; If the risk threshold is higher than the preset risk threshold, the supply chain optimization risk is reported.

8. A supply chain optimization system based on procurement sourcing, characterized in that: The steps for implementing the supply chain optimization method based on procurement sourcing as described in any one of claims 1 to 7 include: A historical purchase data set establishment module, the historical purchase data set establishment module is used to obtain purchase requirements, and use the purchase requirements as call tags to execute historical purchase data calls and establish historical purchase data sets; A market data set establishment module, the market data set establishment module is used to perform market matching based on the procurement demand and establish a market data set, the market data set including market price data and supplier data; A supplier quantity interval configuration module, the supplier quantity interval configuration module is used to configure a risk detection channel, perform a general market risk assessment of procurement needs based on the risk detection channel, set a general risk level, and configure the supplier quantity interval based on the general risk level; A supply stability coefficient establishment module, the supply stability coefficient establishment module is used to conduct a comprehensive supply evaluation of the cooperative supplier through the historical procurement data set to establish a supply stability coefficient; An adaptation evaluation result establishment module, wherein the adaptation evaluation result establishment module is used to screen non-cooperative suppliers according to the market data set, call the evaluation model with the non-cooperative supplier screening results, perform adaptation evaluation of non-cooperative suppliers, and establish adaptation evaluation results, wherein the adaptation evaluation includes basic adaptation evaluation and risk adaptation evaluation; An adaptation optimization result establishment module, wherein the adaptation optimization result establishment module is used to perform supplier adaptation optimization according to the adaptation evaluation result, supplier quantity interval, and supply stability coefficient, and establish an adaptation optimization result; A supply chain optimization module is used to optimize the supply chain according to the adaptation optimization result.

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