Enterprise supply chain digital management capability diagnosis method, device, equipment and medium

Abstract

The invention provides an enterprise supply chain digital management capability diagnosis method and device, equipment and a medium, and the method comprises the steps: obtaining the basic information of an industry and an enterprise, and constructing a database; based on the database, constructing a supply chain digital management capability index model through an analytic hierarchy process; respectively calculating each diagnosis dimension of the participating enterprises and the industries to which the participating enterprises belong, and scores of corresponding second-level indexes and third-level indexes; performing clustering through a clustering algorithm, performing gradient processing on each diagnosis dimension, a second-level index and a third-level index to obtain an industry enterprise supply chain digital management target value, and performing stage division on the supply chain digital management capability of the industry; according to the score of the participating enterprise on each diagnosis dimension, judging the current ability stage of the participating enterprise; and a diagnosis report is generated by comparing and analyzing the size relationship with the target value. The invention provides an enterprise supply chain digital management capability diagnosis scheme with high accuracy and practicability.

Description

Technical Field

[0001] This invention relates to the fields of administrative and commercial management technology, and in particular to a method, apparatus, equipment and medium for diagnosing the digital management capabilities of an enterprise supply chain. Background Technology

[0002] As the lifeblood of the industrial economy, ensuring the smooth operation of the supply chain is the prerequisite and foundation for improving industrial quality and efficiency. Against the backdrop of digital transformation, supply chain digitalization can significantly enhance a company's market competitiveness, and has therefore been elevated to the strategic level of high-quality industrial development in China.

[0003] Digital transformation of the supply chain involves all aspects of the supply chain management process, including procurement, production, distribution, logistics, and customer service. Its core purpose is to improve the efficiency, transparency, and responsiveness of the supply chain through high levels of informatization and automation, thereby enhancing the company's market competitiveness. However, effective methods for enterprise supply chain digital management capabilities are still lacking.

[0004] Related technologies are typically analyzed based on six dimensions: infrastructure, single application, comprehensive integration, collaboration and innovation, competitiveness, and economic and social benefits. They focus more on the optimization of a single link or function, while neglecting the importance of data sharing and collaboration between upstream and downstream of the supply chain. The supply chain structure and development stage vary greatly across different industries, so general solutions are difficult to accurately reflect the actual needs of enterprises in specific industries. Summary of the Invention

[0005] This invention provides a method, device, and medium for diagnosing enterprise supply chain digital management capabilities, which solves the problems of insufficient accuracy and practicality in assessing enterprise supply chain digital management capabilities in related technologies.

[0006] To achieve the above objectives, this application adopts the following technical solution: Firstly, a diagnostic method for an enterprise's digital supply chain management capabilities is provided, including: Acquire basic information about industries and enterprises to build a database for diagnosing enterprises' digital supply chain management capabilities; Based on the database, a supply chain digital management capability index model is constructed using the analytic hierarchy process (AHP). The supply chain digital management capability index model includes five diagnostic dimensions: supply chain system construction, supply chain digital management foundation, supply chain digital management, supply chain security risk management, and supply chain management value and effectiveness. The supply chain system construction dimension includes secondary indicators, including at least one of the following: supply chain strategic planning indicators, supply chain partner indicators, supply chain network structure indicators, and supply chain operation rules indicators; The basic dimension of supply chain digital management includes secondary indicators, including at least one of the following: supply chain digital management platform indicators, supply chain basic data resource indicators, and supply chain platform function application indicators. The supply chain digital management capability dimension includes secondary indicators, including at least one of the following: supply chain business digital management indicators, supply chain collaboration indicators, and supply chain ecosystem operation indicators; The supply chain security risk management capability dimension includes secondary indicators, including at least one of the following: supply chain risk prediction indicators and supply chain risk handling indicators; The value and effectiveness dimension of supply chain management includes secondary indicators, including at least one of the following: supply chain performance monitoring indicators and supply chain assessment and optimization indicators. Calculate the scores for each diagnostic dimension and the corresponding secondary and tertiary indicators for the participating companies and their respective industries. Based on the scores of various diagnostic dimensions, secondary indicators, and tertiary indicators of enterprises in the industry, clustering is performed using a clustering algorithm. Each diagnostic dimension, secondary indicator, and tertiary indicator is then processed with gradients to obtain the target values ​​for digital supply chain management of enterprises in the industry under the current environment. The digital supply chain management capabilities of the industry are then divided into stages. The participating companies are assessed based on their scores across various diagnostic dimensions to determine their current stage of supply chain digital management capabilities; a diagnostic report is generated by comparing and analyzing the relationship between these scores and the target values ​​for supply chain digital management in the industry.

[0007] In the first possible implementation of the first aspect, the supply chain digital management capability of the industry is divided into stages, which are ordered from low to high as follows: initial construction stage, basic management stage, industrial collaboration stage, security assurance stage, and efficiency upgrade stage.

[0008] In the second possible implementation of the first aspect, the comparative analysis and the relationship between the target value of the industry enterprise's supply chain digital management, generating a diagnostic report, specifically includes: Compare whether the scores of the participating companies on each diagnostic dimension are lower than the target values ​​for supply chain digital management of the industry enterprises; if yes, the corresponding dimension is the direction for improvement of the participating companies; if no, the corresponding dimension is the strength capability of the participating companies. Compare whether the scores of the third-level indicators in the corresponding dimensions of the improvement direction are less than the target value of the industry enterprise supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise. Compare whether the scores of the participating enterprises in the secondary indicators are lower than the target value of the industry's supply chain digital management. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage. The diagnostic report includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weaknesses in capacity building.

[0009] In the third possible implementation of the first aspect, the construction of the supply chain digital management capability index model based on the database using the analytic hierarchy process includes: The Analytic Hierarchy Process (AHP) was used to determine the diagnostic dimensions of an enterprise's digital supply chain management capabilities, as well as the secondary and tertiary indicators for each diagnostic dimension. The importance of each diagnostic dimension and each indicator under each dimension is sorted to obtain an indicator sequence table, and each indicator is assigned a corresponding weight coefficient. A hierarchical system of diagnostic dimensions, secondary indicators, and tertiary indicators is constructed to obtain the supply chain digital management capability index model.

[0010] In the fourth possible implementation of the first aspect, the clustering based on the scores of various diagnostic dimensions and secondary and tertiary indicators of enterprises in the industry, using a clustering algorithm, and performing gradient processing on each diagnostic dimension, secondary and tertiary indicator respectively, yields the target value for digital management of the industry's supply chain under the current environment, including: Initialize cluster centers: Randomly select 5 objects from the data as the cluster centers of the 5 classes; Based on Euclidean distance, assign other data to the nearest cluster; Calculate the mean of each attribute for each cluster; Using the final clustering results as the basis for capability stage division, the scores of each diagnostic dimension and secondary and tertiary indicators are stratified; the mean of each cluster is used as the representative score of that level, which is the target value for digital management of the industry enterprise supply chain under the current environment.

[0011] Secondly, a diagnostic device for enterprise supply chain digital management capabilities is provided, including: The data acquisition module is used to acquire basic information about the industry and enterprises, and to build a database for diagnosing the digital management capabilities of the enterprise supply chain. The index model module is used to construct a supply chain digital management capability index model based on the database using the analytic hierarchy process (AHP). The supply chain digital management capability index model includes five diagnostic dimensions: supply chain system construction, supply chain digital management foundation, supply chain digital management, supply chain security risk management, and supply chain management value and effectiveness. The supply chain system construction dimension includes secondary indicators, including at least one of the following: supply chain strategic planning indicators, supply chain partner indicators, supply chain network structure indicators, and supply chain operation rules indicators; The basic dimension of supply chain digital management includes secondary indicators, including at least one of the following: supply chain digital management platform indicators, supply chain basic data resource indicators, and supply chain platform function application indicators. The supply chain digital management capability dimension includes secondary indicators, including at least one of the following: supply chain business digital management indicators, supply chain collaboration indicators, and supply chain ecosystem operation indicators; The supply chain security risk management capability dimension includes secondary indicators, including at least one of the following: supply chain risk prediction indicators and supply chain risk handling indicators; The value and effectiveness dimension of supply chain management includes secondary indicators, including at least one of the following: supply chain performance monitoring indicators and supply chain assessment and optimization indicators. The score calculation module is used to calculate the scores of each diagnostic dimension and the corresponding secondary and tertiary indicators for the participating enterprises and their respective industries. The target value calculation and capability stage division module is used to cluster enterprises in the industry based on their scores of various diagnostic dimensions, secondary indicators, and tertiary indicators. It then performs gradient processing on each diagnostic dimension, secondary indicator, and tertiary indicator to obtain the target value of the industry's supply chain digital management under the current environment and divides the industry's supply chain digital management capabilities into stages. The diagnostic report generation module is used to determine the current stage of the enterprise's digital supply chain management capability based on the scores of the participating enterprises in each diagnostic dimension; and to generate a diagnostic report by comparing and analyzing the relationship with the target value of digital supply chain management of enterprises in the industry.

[0012] In the first possible implementation of the second aspect, the supply chain digital management capabilities of the industry are divided into stages, from low to high: initial construction stage, basic management stage, industrial collaboration stage, security assurance stage, and efficiency upgrade stage.

[0013] In the second possible implementation of the second aspect, the comparative analysis and the relationship between the target value of the industry enterprise's supply chain digital management, generating a diagnostic report, specifically includes: Compare whether the scores of the participating companies on each diagnostic dimension are lower than the target values ​​for supply chain digital management of the industry enterprises; if yes, the corresponding dimension is the direction for improvement of the participating companies; if no, the corresponding dimension is the strength capability of the participating companies. Compare whether the scores of the third-level indicators in the corresponding dimensions of the improvement direction are less than the target value of the industry enterprise supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise. Compare whether the scores of the participating enterprises in the secondary indicators are lower than the target value of the industry's supply chain digital management. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage. The diagnostic report includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weaknesses in capacity building.

[0014] Thirdly, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the enterprise supply chain digital management capability diagnostic method as described in the first aspect.

[0015] Fourthly, a readable storage medium is provided, on which a program or instructions are stored, which, when executed by a processor, implement the steps of the enterprise supply chain digital management capability diagnostic method described in the first aspect.

[0016] Beneficial effects: This application innovates a diagnostic method for enterprise supply chain digital management capabilities, filling a technological gap in this field and providing enterprises with a comprehensive assessment scheme for supply chain digital management capabilities. By evaluating enterprise supply chain digital management capabilities across multiple dimensions through the calculation of secondary and tertiary indicators under each dimension, the application achieves more accurate diagnostic results. Furthermore, by utilizing a set judgment method, it enables rapid identification of weaknesses in enterprise supply chain digital capabilities, improving diagnostic efficiency. It can also dynamically benchmark against the current development status of industry enterprises' supply chain digital capabilities, helping enterprises at different development stages find supply chain digital development paths that better meet their current transformation needs. Attached Figure Description

[0017] Figure 1A schematic structural diagram of a supply chain digital management capability index model provided in this application embodiment; Figure 2 A structural block diagram of an enterprise supply chain digital management capability diagnostic device provided in this application embodiment; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the technical solutions in the embodiments of this application are clearly described. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art are within the scope of protection of this application.

[0019] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0020] The steps described in the specification and the flowcharts in the accompanying drawings of this invention are not necessarily strictly executed according to the step numbers; the execution order of the method steps can be changed. Furthermore, certain steps can be omitted, multiple steps can be combined into one step, and / or one step can be broken down into multiple steps.

[0021] The following detailed description, in conjunction with the accompanying drawings and preferred embodiments, describes the enterprise supply chain digital management capability diagnosis method, apparatus, equipment, and media provided in this application.

[0022] First, the application scenarios of the enterprise supply chain digital management capability diagnosis method in this application embodiment will be described in detail.

[0023] In related technologies, analysis is typically based on six dimensions: infrastructure, single application, comprehensive integration, collaboration and innovation, competitiveness, and economic and social benefits. The analytic hierarchy process (AHP) is used to assign weights to each indicator, calculate the corresponding development level of the enterprise, and ultimately determine its development stage. This approach has the following limitations: First, the evaluation content of existing solutions is relatively generic, typically focusing on the optimization of single links or functions. However, diagnosing supply chain digital management capabilities should not only focus on each link within the supply chain but also involve data sharing and collaboration between upstream and downstream partners. Second, from an industry perspective, different industries differ greatly in their development cycles, industrial structures, and supply chain compositions. Therefore, the key points, difficulties, and entry points for supply chain digitalization vary significantly, making it difficult to dynamically align solutions with the current level of enterprises in each industry. Third, from a corporate perspective, existing solutions offer limited practical guidance for enterprises, leaving them without a clear focus for improving their supply chain digital management capabilities.

[0024] Based on this, this application proposes a diagnostic method for enterprise supply chain digital management capabilities, which enables a comprehensive assessment of the digital capabilities of enterprise supply chain management links, and allows for real-time benchmarking of industry supply chain capabilities and dynamic benchmarking against advanced industry levels, emphasizing comprehensiveness and real-time performance. This enables enterprises to find the future development direction of their supply chain management in a low-cost and dynamic manner, promoting the construction of a modern industrial system, enhancing supply chain digital capabilities, and improving operational efficiency.

[0025] This application provides a method for diagnosing an enterprise's digital supply chain management capabilities. The diagnostic method of this application includes the following steps: Step S1: Obtain basic information about the industry and enterprises, and build a database for diagnosing the digital management capabilities of enterprise supply chains.

[0026] The industries mentioned include at least one of the following: agriculture, forestry, mining, construction, electricity, power grid, metallurgy, food, textiles, pharmaceuticals, tobacco, petrochemicals, machinery, light industry, building materials, electronics, packaging, transportation equipment manufacturing, comprehensive utilization of waste resources, service industry, transportation and logistics, wholesale and retail, information transmission, software and information services.

[0027] Step S2: Based on the database, construct a supply chain digital management capability index model using the analytic hierarchy process.

[0028] Step S201: Use the Analytic Hierarchy Process (AHP) to determine the diagnostic dimensions of the enterprise's digital supply chain management capabilities, as well as the secondary and tertiary indicators for each diagnostic dimension.

[0029] Step S202: Sort the importance of each diagnostic dimension and each indicator under each dimension to obtain an indicator sequence table, and assign corresponding weight coefficients to each indicator.

[0030] Step S203: Construct a hierarchical system of diagnostic dimensions, secondary indicators, and tertiary indicators to obtain the supply chain digital management capability index model.

[0031] The diagnostic dimensions of an enterprise's digital supply chain management capabilities are important reference dimensions for achieving quantitative rating through interviews and surveys during the diagnostic process. Specifically, see... Figure 2 The diagnostic dimensions include five major dimensions: supply chain system construction (S), supply chain digital management foundation (B), supply chain digital management (M), supply chain security and risk management (R), and supply chain management value and effectiveness (E). Further, see Figure 1 The secondary indicators under the supply chain system construction dimension (S) shall include at least one of the following: supply chain strategic planning indicator (S1), supply chain partner indicator (S2), supply chain network structure indicator (S3), and supply chain operation rule indicator (S4); the secondary indicators under the supply chain digital management foundation dimension (B) shall include at least one of the following: supply chain digital management platform indicator (B1), supply chain basic data resource indicator (B2), and supply chain platform function application indicator (B3); the secondary indicators under the supply chain digital management capability dimension (M) shall include at least one of the following: supply chain business digital management indicator (M1), supply chain collaboration indicator (M2), and supply chain ecosystem operation indicator (M3); the secondary indicators under the supply chain security risk management capability dimension (R) shall include at least one of the following: supply chain risk prediction indicator (R1) and supply chain risk disposal indicator (R2); the secondary indicators under the supply chain management value effectiveness dimension (E) shall include at least one of the following: supply chain performance monitoring indicator (E1) and supply chain assessment optimization indicator (E2).

[0032] For example, in step S202, the importance of each diagnostic dimension and each indicator under each dimension is sorted to obtain an indicator sequence table, and each indicator is assigned a corresponding weight coefficient. The specific calculation steps are as follows: Step S202a, construct the judgment matrix: For each indicator under the dimension of supply chain digital management capability impact, a pairwise comparison matrix is ​​constructed based on the comparison of importance.

[0033] Step S202b, Calculate weights: Calculate the largest eigenvalue of the judgment matrix ( λmax) Calculate the eigenvectors of the judgment matrix ( The elements in the eigenvector are the weights of each criterion or scheme.

[0034] Step S202c: Calculate the feature vector and normalize it for each column: n ,in This represents the result of column-wise normalization. Represents the first in the judgment matrix i Line 1 j Column elements.

[0035] Step S202d: Normalize the rows: ， n , This represents the result of adding rows together. ， n , This represents the value of the eigenvector.

[0036] Step S202e, calculate the largest eigenvalue: Step S202f, Consistency check: To verify the rationality of the judgment matrix construction, a consistency test is used to examine the judgment matrix and determine whether it meets the consistency conditions. If the consistency index (CI) is less than 0.1, the consistency of the judgment matrix is ​​considered acceptable.

[0037] Consistency Index (CI): CI = To verify the consistency of the judgment matrix, CI is compared with the average random consistency index RI, where CR = .

[0038] Steps S202a-S202f above calculate the weight vector of each factor by calculating the eigenvalues ​​and eigenvectors of the judgment matrix. The weight vector represents the relative importance of each factor under its respective criterion. By solving the largest eigenvalue and the corresponding eigenvector of the judgment matrix, the weight of each factor on the digital transformation of manufacturing enterprises is calculated.

[0039] For example, the weight settings for diagnostic dimensions, secondary indicators, and tertiary indicators are shown in Table 1: Step S3: Calculate the scores of each diagnostic dimension and the corresponding secondary and tertiary indicators for each participating enterprise and its industry.

[0040] The scores for the secondary and tertiary indicators corresponding to each diagnostic dimension of the participating companies' industries can be obtained by calculating the average of the scores for each secondary and tertiary indicator of multiple companies in the same industry as the participating companies. The supply chain digital management capability index for each industry, the scores of the five diagnostic dimensions, and the target values ​​for the secondary and tertiary indicators can all be calculated using an arithmetic mean.= ,in x For the first i Individual company's indicator score n This represents the number of companies that have participated in the diagnostic assessment.

[0041] Step S4: Based on the scores of each diagnostic dimension and secondary and tertiary indicators of each enterprise in the industry, clustering is performed using a clustering algorithm. Each diagnostic dimension and secondary and tertiary indicator is then processed into a gradient to obtain the target value of supply chain digital management for enterprises in the industry under the current environment. The supply chain digital management capabilities of the industry are then divided into stages.

[0042] In practice, based on the scores of enterprises that have participated in the diagnostic assessment, unsupervised learning is used to perform k-means clustering analysis on the diagnostic dimensions. The dataset is clustered based on the similarity between samples, minimizing intra-cluster differences and maximizing inter-cluster differences. This yields the stage classification of an enterprise's supply chain digital management capabilities. The calculation steps are as follows: Step S411, Initialize cluster centers: Randomly select 5 objects from the data as the cluster centers of the 5 classes.

[0043] Step S412, based on Euclidean distance, assign other data to the nearest cluster: Assuming the sample dataset contains n There are objects, X = {X1, X2, ..., X} n Each object has 5 attributes. The Euclidean distance from an object to a cluster center is calculated as follows: The five cluster centers are K={k1,k2,…k5}, and the number of samples in each cluster is N={n1,n2,…nc}. Step S413, calculate the mean of each attribute for each cluster: The squared error loss function for each cluster is defined as: ; To obtain the optimal solution, the objective loss function must be minimized. Now, for any one of them... Taking the partial derivative, we can obtain: ; Setting the partial derivatives to 0, we get: This allows us to obtain the mean of each attribute of the cluster.

[0044] Step S414: Using the final clustering results as the basis for capability stage division, the scores of each diagnostic dimension and secondary and tertiary indicators are stratified; the mean of each cluster is used as the representative score of that level, i.e. the target value of digital management of the industry enterprise supply chain in the current environment.

[0045] Based on this, five capability stages were determined. Cluster analysis revealed a positive correlation between the range of diagnostic dimension scores and the diagnostic capability scores. Therefore, the specific industry supply chain digital management capability stages, from lowest to highest, are: initial construction stage, basic management stage, industry collaboration stage, security assurance stage, and efficiency upgrade stage.

[0046] The meanings of each ability stage are as follows: Initial Development Phase: Enterprises initially possess the infrastructure and environment for digital supply chain management, but digital management of individual aspects such as procurement, production, distribution, logistics, and customer service has not yet been implemented or is just beginning. For enterprises at this stage, the focus of supply chain digital management development is on building digital infrastructure, thereby laying the foundation for the integrated application of digital technologies.

[0047] Basic Management Stage: Digital technology is increasingly covering and penetrating individual business segments of supply chain management, but its synergy across the entire industry chain has not yet been achieved. In this stage, digital technology gradually permeates all business segments of the supply chain, including procurement, production, distribution, logistics, and customer service, and achieves vertical penetration in management. The application level of digital technology is continuously improving, and its support for business operations is deepening.

[0048] Industry Collaboration Stage: Digital technologies achieve coverage and penetration across all aspects of supply chain management, including production, supply, sales, and service. Enterprises at this stage have transcended corporate boundaries in terms of information flow, logistics, and capital flow, promoting seamless integration among upstream and downstream entities such as suppliers, supporting manufacturers, and customers. Through information collaboration, resource collaboration, process collaboration, and business collaboration, they achieve precise procurement, customized production, and precise distribution, significantly improving supply capabilities.

[0049] Security Assurance Phase: Leveraging digital technologies to quantitatively assess potential risks in the supply chain and achieve data-driven decision-making. Enterprises at this stage can collect, integrate, and analyze data from all aspects of the supply chain to understand its operational status in real time, accurately grasp market demand and supply changes, and quickly adjust production plans, inventory levels, and logistics strategies in the face of market changes and uncertainties. This ensures the stability and continuity of the supply chain and allows them to adapt to new market demands.

[0050] Efficiency Upgrade Stage: Enterprises at this stage have matured in terms of initial setup, basic management, industry collaboration, and security capabilities, achieving improved efficiency and effectiveness. Enterprises in this stage can establish supply chain operation models such as precise procurement, customized production, and precise distribution. They can optimize their ability to organize production in a refined and flexible manner according to customer orders, significantly improving the accuracy of procurement plans, order delivery speed, and inventory turnover rate. Furthermore, as supply chain operation capabilities improve, the enterprise's internal operations and its adaptability and competitiveness in responding to external markets will continue to enhance.

[0051] For example, the digital management capabilities of a certain industry's supply chain are divided into stages, and the results are shown in Table 2.

[0052] Table 2. Stages of Supply Chain Digital Management Capabilities in a Certain Industry Step S5: Determine the current stage of a participating company's digital supply chain management capability based on its scores across various diagnostic dimensions; and generate a diagnostic report by comparing and analyzing the relationship between the scores and the target values ​​for digital supply chain management of industry enterprises.

[0053] The above comparative analysis and its relationship with the target values ​​of supply chain digital management for industry enterprises specifically include: Step S501: Compare whether the scores of participating companies in each diagnostic dimension are lower than the industry's target value for digital supply chain management; if yes, the corresponding dimension is the direction for improvement for participating companies; if no, the corresponding dimension is the strength of participating companies.

[0054] Further, in step S501a, compare whether the scores of the third-level indicators in the corresponding dimension of the improvement direction are less than the target value of the industry enterprise's supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise.

[0055] Step S502: Compare whether the scores of participating enterprises in the secondary indicators are lower than the target values ​​for supply chain digital management of industry enterprises. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage.

[0056] In practice, companies can determine their current stage of supply chain digital management capabilities based on the scores of the five diagnostic dimensions and compare the scores. If a diagnostic dimension is higher than the industry target value, it is considered a strength; if a diagnostic dimension is lower than the industry target value, it is considered an area for improvement. Further comparison is made between the scores of the company's secondary and tertiary indicators for improvement and the industry target values. If the scores of any secondary or tertiary indicator are lower than the industry target value, it is considered an area for improvement. At the same time, by comparing the capability values ​​of the secondary indicators of supply chain digital management with the industry's supply chain digital management target values, the company's supply chain digital management problem indicators are identified, and weak links in capability building are found.

[0057] The diagnostic results will be output as a "Diagnostic Report on Enterprise Supply Chain Digital Management Capabilities," which includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weak links in capability building: (For example, the supply chain strategic planning in the initial construction phase is a weak link in the company's capability building).

[0058] Based on the above technical solutions, this application innovates a diagnostic method for enterprise supply chain digital management capabilities, filling a technological gap in this field and providing enterprises with a comprehensive assessment scheme for supply chain digital management capabilities. This application evaluates enterprise supply chain digital capabilities from multiple dimensions by calculating secondary and tertiary indicators under each dimension, based on the enterprise's supply chain digital management capability development stage, resulting in more accurate diagnostic results. Simultaneously, by utilizing a set judgment method, it enables rapid identification of weak links in enterprise supply chain digital capabilities, improving diagnostic efficiency. Furthermore, it can dynamically benchmark against the current development status of industry enterprises' supply chain digital capabilities, helping enterprises at different development stages find supply chain digital development paths that better meet their current transformation needs.

[0059] See Figure 2 Corresponding to the above-mentioned embodiment of the enterprise supply chain digital management capability diagnosis method, this application embodiment provides an enterprise supply chain digital management capability diagnosis device, which includes: The data acquisition module 1001 is used to acquire basic information about the industry and enterprises, and to build a database for diagnosing the enterprise's digital supply chain management capabilities. The index model module 1002 is used to construct a supply chain digital management capability index model based on the database using the analytic hierarchy process; wherein, the supply chain digital management capability index model includes five diagnostic dimensions: supply chain system construction, supply chain digital management foundation, supply chain digital management, supply chain security risk management, and supply chain management value effectiveness; The supply chain system construction dimension includes secondary indicators, including at least one of the following: supply chain strategic planning indicators, supply chain partner indicators, supply chain network structure indicators, and supply chain operation rules indicators; The basic dimension of supply chain digital management includes secondary indicators, including at least one of the following: supply chain digital management platform indicators, supply chain basic data resource indicators, and supply chain platform function application indicators. The supply chain digital management capability dimension includes secondary indicators, including at least one of the following: supply chain business digital management indicators, supply chain collaboration indicators, and supply chain ecosystem operation indicators; The supply chain security risk management capability dimension includes secondary indicators, including at least one of the following: supply chain risk prediction indicators and supply chain risk handling indicators; The value and effectiveness dimension of supply chain management includes secondary indicators, including at least one of the following: supply chain performance monitoring indicators and supply chain assessment and optimization indicators. The score calculation module 1003 is used to calculate the scores of each diagnostic dimension and the corresponding secondary and tertiary indicators for the participating enterprises and their respective industries. The target value calculation and capability stage division module 1004 is used to cluster enterprises in the industry based on the scores of each diagnostic dimension and secondary and tertiary indicators, and to perform gradient processing on each diagnostic dimension and secondary and tertiary indicators to obtain the target value of the industry's supply chain digital management under the current environment, and to divide the industry's supply chain digital management capability into stages. The diagnostic report generation module 1005 is used to determine the current stage of enterprise supply chain digital management capability of the participating enterprises based on their scores in various diagnostic dimensions; and to generate a diagnostic report by comparing and analyzing the relationship between the scores and the target values ​​of supply chain digital management of enterprises in the industry.

[0060] Furthermore, the industry's supply chain digital management capabilities are divided into stages, from low to high: initial construction stage, basic management stage, industry collaboration stage, security assurance stage, and efficiency upgrade stage.

[0061] Furthermore, the comparative analysis and its relationship with the target values ​​of the industry's digital supply chain management generate a diagnostic report, specifically including: Compare whether the scores of the participating companies on each diagnostic dimension are lower than the target values ​​for supply chain digital management of the industry enterprises; if yes, the corresponding dimension is the direction for improvement of the participating companies; if no, the corresponding dimension is the strength capability of the participating companies. Compare whether the scores of the third-level indicators in the corresponding dimensions of the improvement direction are less than the target value of the industry enterprise supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise. Compare whether the scores of the participating enterprises in the secondary indicators are lower than the target value of the industry's supply chain digital management. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage. The diagnostic report includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weaknesses in capacity building.

[0062] The aforementioned enterprise supply chain digital management capability diagnostic device implements the steps and processes of the aforementioned enterprise supply chain digital management capability diagnostic method embodiment, and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0063] See Figure 3 Corresponding to the above-mentioned embodiment of the enterprise supply chain digital management capability diagnosis method, this application embodiment provides an electronic device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps and processes of the above-mentioned embodiment of the enterprise supply chain digital management capability diagnosis method and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0064] The memory 1009 can be used to store software programs and various data. The memory 1009 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback function, image playback function, etc.). Furthermore, the memory 1009 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1009 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0065] The processor 1010 may include one or more processing units; optionally, the processor 1010 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into the processor 1010.

[0066] Corresponding to the above-mentioned embodiment of the enterprise supply chain digital management capability diagnosis method, this application embodiment also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements the steps and processes of the above-mentioned embodiment of the enterprise supply chain digital management capability diagnosis method and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0067] The processor is the processor in the electronic device described in the above embodiments of this application. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0068] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0069] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0070] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. Obtain basic information about the industry and enterprises, and build a database for diagnosing the digital management capabilities of enterprise supply chains; Based on the aforementioned database, a supply chain digital management capability index model is constructed using the analytic hierarchy process (AHP); wherein... The supply chain digital management capability index model includes five diagnostic dimensions: supply chain system construction, supply chain digital management foundation, supply chain digital management, supply chain security risk management, and supply chain management value and effectiveness. The supply chain system construction dimension includes secondary indicators, including at least one of the following: supply chain strategic planning indicators, supply chain partner indicators, supply chain network structure indicators, and supply chain operation rules indicators; The basic dimension of supply chain digital management includes secondary indicators, including at least one of the following: supply chain digital management platform indicators, supply chain basic data resource indicators, and supply chain platform function application indicators. The supply chain digital management capability dimension includes secondary indicators, including at least one of the following: supply chain business digital management indicators, supply chain collaboration indicators, and supply chain ecosystem operation indicators; The supply chain security risk management capability dimension includes secondary indicators, including at least one of the following: supply chain risk prediction indicators and supply chain risk handling indicators; The value and effectiveness dimension of supply chain management includes secondary indicators, including at least one of the following: supply chain performance monitoring indicators and supply chain assessment and optimization indicators. Calculate the scores for each diagnostic dimension and the corresponding secondary and tertiary indicators for the participating companies and their respective industries. Based on the scores of various diagnostic dimensions, secondary indicators, and tertiary indicators of enterprises in the industry, clustering is performed using a clustering algorithm. Each diagnostic dimension, secondary indicator, and tertiary indicator is then processed with gradients to obtain the target values ​​for digital supply chain management of enterprises in the industry under the current environment. The digital supply chain management capabilities of the industry are then divided into stages. The participating companies are assessed based on their scores across various diagnostic dimensions to determine their current stage of supply chain digital management capabilities; a diagnostic report is generated by comparing and analyzing the relationship between these scores and the target values ​​for supply chain digital management in the industry.

2. The method for diagnosing enterprise supply chain digital management capabilities according to claim 1, characterized in that, The industry's supply chain digital management capabilities are divided into stages, from low to high: initial construction stage, basic management stage, industry collaboration stage, security assurance stage, and efficiency upgrade stage.

3. The method for diagnosing enterprise supply chain digital management capabilities according to claim 1, characterized in that, The comparative analysis is performed to determine the relationship between the target value of the industry's digital supply chain management and the target value of the enterprise, generating a diagnostic report, which specifically includes: Compare whether the scores of the participating companies on each diagnostic dimension are lower than the target values ​​for supply chain digital management of the industry enterprises; if yes, the corresponding dimension is the direction for improvement of the participating companies; if no, the corresponding dimension is the strength capability of the participating companies. Compare whether the scores of the third-level indicators in the corresponding dimensions of the improvement direction are less than the target value of the industry enterprise supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise. Compare whether the scores of the participating enterprises in the secondary indicators are lower than the target value of the industry's supply chain digital management. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage. The diagnostic report includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weaknesses in capacity building.

4. The method for diagnosing enterprise supply chain digital management capabilities according to claim 1, characterized in that, The aforementioned construction of a supply chain digital management capability index model based on the database using the analytic hierarchy process includes: The Analytic Hierarchy Process (AHP) was used to determine the diagnostic dimensions of an enterprise's digital supply chain management capabilities, as well as the secondary and tertiary indicators for each diagnostic dimension. The importance of each diagnostic dimension and each indicator under each dimension is sorted to obtain an indicator sequence table, and each indicator is assigned a corresponding weight coefficient. A hierarchical system of diagnostic dimensions, secondary indicators, and tertiary indicators is constructed to obtain the supply chain digital management capability index model.

5. The method for diagnosing enterprise supply chain digital management capabilities according to claim 1, characterized in that, The aforementioned method, based on the scores of various diagnostic dimensions and secondary and tertiary indicators of enterprises in the industry, uses a clustering algorithm to perform clustering, and then applies gradient processing to each diagnostic dimension, secondary and tertiary indicator to obtain the target values ​​for digital supply chain management of enterprises in the industry under the current environment, including: Initialize cluster centers: Randomly select 5 objects from the data as the cluster centers of the 5 classes; Based on Euclidean distance, assign other data to the nearest cluster; Calculate the mean of each attribute for each cluster; Using the final clustering results as the basis for capability stage division, the scores of each diagnostic dimension and secondary and tertiary indicators are stratified; the mean of each cluster is used as the representative score of that level, which is the target value for digital management of the industry enterprise supply chain under the current environment.

6. A diagnostic device for enterprise supply chain digital management capabilities, characterized in that, include: The data acquisition module is used to acquire basic information about the industry and enterprises, and to build a database for diagnosing the digital management capabilities of the enterprise supply chain. The index model module is used to construct a supply chain digital management capability index model based on the database using the analytic hierarchy process (AHP). The supply chain digital management capability index model includes five diagnostic dimensions: supply chain system construction, supply chain digital management foundation, supply chain digital management, supply chain security risk management, and supply chain management value and effectiveness. The supply chain system construction dimension includes secondary indicators, including at least one of the following: supply chain strategic planning indicators, supply chain partner indicators, supply chain network structure indicators, and supply chain operation rules indicators; The basic dimension of supply chain digital management includes secondary indicators, including at least one of the following: supply chain digital management platform indicators, supply chain basic data resource indicators, and supply chain platform function application indicators. The supply chain digital management capability dimension includes secondary indicators, including at least one of the following: supply chain business digital management indicators, supply chain collaboration indicators, and supply chain ecosystem operation indicators; The supply chain security risk management capability dimension includes secondary indicators, including at least one of the following: supply chain risk prediction indicators and supply chain risk handling indicators; The value and effectiveness dimension of supply chain management includes secondary indicators, including at least one of the following: supply chain performance monitoring indicators and supply chain assessment and optimization indicators. The score calculation module is used to calculate the scores of each diagnostic dimension and the corresponding secondary and tertiary indicators for the participating enterprises and their respective industries. The target value calculation and capability stage division module is used to cluster enterprises in the industry based on their scores of various diagnostic dimensions, secondary indicators, and tertiary indicators. It then performs gradient processing on each diagnostic dimension, secondary indicator, and tertiary indicator to obtain the target value of the industry's supply chain digital management under the current environment and divides the industry's supply chain digital management capabilities into stages. The diagnostic report generation module is used to determine the current stage of the enterprise's digital supply chain management capability based on the scores of the participating enterprises in each diagnostic dimension; and to generate a diagnostic report by comparing and analyzing the relationship with the target value of digital supply chain management of enterprises in the industry.

7. The enterprise supply chain digital management capability diagnostic device according to claim 6, characterized in that, The industry's supply chain digital management capabilities are divided into stages, from low to high: initial construction stage, basic management stage, industry collaboration stage, security assurance stage, and efficiency upgrade stage.

8. The enterprise supply chain digital management capability diagnostic device according to claim 6, characterized in that, The comparative analysis is performed to determine the relationship between the target value of the industry's digital supply chain management and the target value of the enterprise, generating a diagnostic report, which specifically includes: Compare whether the scores of the participating companies on each diagnostic dimension are lower than the target values ​​for supply chain digital management of the industry enterprises; if yes, the corresponding dimension is the direction for improvement of the participating companies; if no, the corresponding dimension is the strength capability of the participating companies. Compare whether the scores of the third-level indicators in the corresponding dimensions of the improvement direction are less than the target value of the industry enterprise supply chain digital management; if so, the corresponding indicator is the improvement requirement of the participating enterprise. Compare whether the scores of the participating enterprises in the secondary indicators are lower than the target value of the industry's supply chain digital management. If so, the corresponding indicator is the weak link in the capability building of the participating enterprise at its current capability stage. The diagnostic report includes the following: Basic information: Company name, industry; Overall situation: Supply chain digital management capability index and capability stage; Indicator details: Diagnostic dimensions for participating companies and their respective industries, as well as scores for corresponding secondary and tertiary indicators; Diagnostic results: Strengths, areas for improvement, and needs for improvement; Weaknesses in capacity building.

9. An electronic device, characterized in that, The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the enterprise supply chain digital management capability diagnostic method as described in any one of claims 1 to 5.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the enterprise supply chain digital management capability diagnostic method as described in any one of claims 1 to 5.

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