Enterprise digital supply chain capability evaluation method and system

Abstract

The invention discloses an enterprise digital supply chain capability evaluation method and system, and relates to the technical field of supply chain evaluation, and the evaluation method comprises the steps: creating a digital supply chain capability evaluation index system; obtaining to-be-evaluated enterprise digital supply chain evaluation indexes and evaluation scores thereof, and forming an index score set; determining a combination weight of each evaluation index in the index score set; determining an evaluation cloud of each evaluation index in the index score set; determining a comprehensive evaluation cloud of the to-be-evaluated enterprise digital supply chain according to the combination weight and the evaluation cloud; identifying the maturity level of the enterprise supply chain capability; and matching the comprehensive evaluation cloud with the maturity level of the enterprise supply chain capability, and determining the maturity level of the to-be-evaluated enterprise. According to the method, an evaluation index system which comprehensively covers each key link of the digital supply chain is constructed, subjective judgment and objective data are combined, a weight determination method combining an OWA operator and an entropy weight method is adopted, and the reliability of an evaluation result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain evaluation, and in particular to a method and system for evaluating the digital supply chain capability of an enterprise. Background Art

[0002] Digital supply chain is an activity and process that uses new-generation information technologies such as the Internet of Things, blockchain, and supply chain network platforms, as well as modern management concepts and methods, to plan, execute, control, and optimize the entire business process of the supply chain, with a value-creation orientation and data-driven approach. It also conducts overall planning, design, and operational management of the logistics, information flows, and capital flows involved in the supply chain that operate across departments, enterprises, industries, and regions.

[0003] At present, when evaluating their digital supply chain capabilities, enterprises often rely on single-dimensional evaluation indicators or traditional scoring mechanisms. These methods often lack systematicity and are difficult to fully reflect the complexity and dynamics of digital supply chains. At the same time, the weight allocation in the evaluation process often relies on subjective judgment and lacks scientific data support, resulting in greater subjectivity and uncertainty in the evaluation results. In addition, the existing evaluation system mostly stays at the qualitative analysis level and lacks quantitative tools and model support, making it difficult for the evaluation results to accurately guide the digital transformation and supply chain optimization of enterprises. To this end, we propose a method and system for evaluating the digital supply chain capabilities of enterprises. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for evaluating the digital supply chain capabilities of an enterprise, which overcomes the shortcomings of the prior art and solves the problems raised by the above-mentioned background technology.

[0005] To solve the above problems, the technical solutions adopted by the present invention are as follows:

[0006] The present invention proposes a method for evaluating the digital supply chain capability of an enterprise, the evaluation method comprising:

[0007] S1: Create a digital supply chain capability evaluation indicator system;

[0008] S2: Obtain the digital supply chain evaluation indicators and their evaluation scores of the enterprise to be evaluated to form an indicator score set;

[0009] S3: Determine the combined weight of each evaluation indicator in the indicator score set;

[0010] S4: Determine the evaluation cloud of each evaluation indicator in the indicator score set;

[0011] S5: Determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud;

[0012] S6: Identifies the maturity level of the enterprise's supply chain capabilities;

[0013] S7: Match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated;

[0014] The steps for building the digital supply chain capability evaluation index system in S1 include:

[0015] (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance;

[0016] (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established;

[0017] (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model;

[0018] (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship;

[0019] The enterprise supply chain capability maturity levels identified in the S6 include: planning level, specification level, integration level, optimization level and leadership level, and the maturity levels correspond to matching standard cloud digital features.

[0020] Preferably, the step of obtaining the indicator score set in S2 is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set.

[0021] Preferably, the calculation method of the combined weight of each evaluation index in the index score set in S3 is:

[0022] (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ;

[0023] (2) Calculate b i The weight vector of :

[0024]

[0025]

[0026] (3) Calculate the absolute weight of each secondary indicator

[0027]

[0028] (4) Calculate the relative weight w of each evaluation index i :

[0029]

[0030] (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert;

[0031] (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ;

[0032] (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij :

[0033]

[0034] (8) Calculate the entropy value e of the j-th secondary index j :

[0035]

[0036] (9) Calculate the objective weight w of the secondary index j :

[0037]

[0038] (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows:

[0039] w=αw j +(1-α)w i

[0040]

[0041] Preferably, the method for determining the evaluation cloud of each evaluation indicator in the indicator score set is:

[0042] Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj, E mj , H ej ,), the calculation steps are as follows:

[0043]

[0044]

[0045]

[0046] Preferably, the method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is:

[0047] The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(E x , E n , H e ,), the calculation steps are as follows:

[0048]

[0049]

[0050]

[0051] The present invention also proposes an enterprise digital supply chain capability evaluation system, which specifically includes:

[0052] Evaluation index system creation module, used to create a digital supply chain capability evaluation index system;

[0053] The evaluation index and its evaluation score acquisition module is used to obtain the evaluation index and evaluation score of the digital supply chain of the enterprise to be evaluated to form an index score set;

[0054] A combination weight determination module, used to determine the combination weight of each evaluation index in the index score set;

[0055] An evaluation cloud determination module, used to determine the evaluation cloud of each evaluation indicator in the indicator score set;

[0056] A comprehensive evaluation cloud determination module is used to determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud;

[0057] Maturity level identification module, used to identify the maturity level of the enterprise's supply chain capabilities;

[0058] The maturity matching module is used to match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated;

[0059] The steps for building the digital supply chain capability evaluation index system in the evaluation index system creation module include:

[0060] (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance;

[0061] (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established;

[0062] (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model;

[0063] (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship;

[0064] The enterprise supply chain capability maturity levels identified in the maturity level identification module include: planning level, specification level, integration level, optimization level and leadership level, and the maturity levels correspond to matching standard cloud digital features.

[0065] Preferably, the step of acquiring the indicator score set in the evaluation indicator and evaluation score acquisition module is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set.

[0066] Preferably, the calculation method of the combined weight of each evaluation index in the index score set in the combined weight determination module is:

[0067] (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ;

[0068] (2) Calculate b i The weight vector of :

[0069]

[0070]

[0071] (3) Calculate the absolute weight of each secondary indicator

[0072]

[0073] (4) Calculate the relative weight w of each evaluation indexi :

[0074]

[0075] (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert;

[0076] (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ;

[0077] (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij :

[0078]

[0079] (8) Calculate the entropy value e of the j-th secondary index j :

[0080]

[0081] (9) Calculate the objective weight w of the secondary index j :

[0082]

[0083] (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows:

[0084] w=αw j +(1-α)w i

[0085]

[0086] Preferably, the method for determining the evaluation cloud of each evaluation indicator in the indicator score set is:

[0087] Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj , E mj , H ej ,), the calculation steps are as follows:

[0088]

[0089]

[0090]

[0091] Preferably, the method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is:

[0092] The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(E x , E n , H e ,), the calculation steps are as follows:

[0093]

[0094]

[0095]

[0096] Compared with the prior art, the present invention has the following beneficial effects:

[0097] (1) The present invention constructs an evaluation index system that comprehensively covers all key links of the digital supply chain, combines subjective judgment with objective data, and adopts a weight determination method that combines the OWA operator with the entropy weight method, thereby improving the reliability of the evaluation results. Through the comprehensive evaluation of the cloud model and matching with the maturity level, it provides enterprises with intuitive and easy-to-understand evaluation results, which is convenient for guiding actual operations. In addition, the evaluation index system can be dynamically adjusted according to the actual situation of the enterprise to meet the evaluation needs of enterprises of different industries and sizes.

[0098] (2) Based on the SCOR-DS model, this paper proposes a multi-dimensional and multi-level digital supply chain maturity evaluation index model. The model covers five key dimensions: digital supply chain strategy, digitalization of supply chain processes, digital capabilities of supply chain employees, digital enabling technologies, and digital supply chain performance. It also elaborates on the different levels of definitions of key dimensions and the connotations of each secondary indicator. In terms of evaluation methods, it combines the OWA operator, entropy weight method, and cloud model to minimize subjective bias in the evaluation process and improve the reliability of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] Figure 1 It is a schematic diagram of the overall process structure of an enterprise digital supply chain capability evaluation method and system;

[0100] Figure 2 It is a framework diagram of the digital supply chain capability evaluation index system in the present invention;

[0101] Figure 3 It is a model framework diagram of the supply chain evaluation model in the present invention;

[0102] Figure 4 A schematic diagram of the hierarchical division of the digital supply chain maturity level in the present invention;

[0103] Figure 5 The OWA operator-entropy weight method in the present invention is used to weight and evaluate the digital supply chain maturity cloud map of GX Company;

[0104] Figure 6 Empower the OWA operator in the present invention to evaluate the digital supply chain maturity cloud map of GX Company;

[0105] Figure 7 The entropy weight method in this invention is used to weight the GX company's digital supply chain maturity cloud map;

[0106] Figure 8 This is a cloud chart of the digital supply chain maturity of GX Company weighted by the AHP-entropy weight method in the present invention. DETAILED DESCRIPTION

[0107] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0108] Embodiment 1:

[0109] Please refer to Figure 1 As shown in FIG. 4 , this embodiment provides a method for evaluating the digital supply chain capability of an enterprise, and the evaluation method includes:

[0110] S1: Create a digital supply chain capability evaluation indicator system;

[0111] The steps to build a digital supply chain capability evaluation index system include:

[0112] (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance;

[0113] (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established;

[0114] (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model;

[0115] The 18 secondary indicators obtained in this embodiment in combination with expert opinions are shown in the following table:

[0116]

[0117] (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship;

[0118] S2: Obtain the digital supply chain evaluation indicators and their evaluation scores of the enterprise to be evaluated to form an indicator score set;

[0119] The step of obtaining the indicator score set is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set.

[0120] S3: Determine the combined weight of each evaluation indicator in the indicator score set;

[0121] The calculation method of the combined weight of each evaluation indicator in the indicator score set is:

[0122] (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ;

[0123] (2) Calculate b i The weight vector of :

[0124]

[0125]

[0126] (3) Calculate the absolute weight of each secondary indicator

[0127]

[0128] (4) Calculate the relative weight w of each evaluation index i :

[0129]

[0130] (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert;

[0131] (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ;

[0132] (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij :

[0133]

[0134] (8) Calculate the entropy value e of the i-th secondary indicator j :

[0135]

[0136] (9) Calculate the objective weight w of the secondary index j :

[0137]

[0138] (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows:

[0139] w=αw j +(1-α)w i

[0140]

[0141] S4: Determine the evaluation cloud of each evaluation indicator in the indicator score set;

[0142] The method for determining the evaluation cloud of each evaluation indicator in the indicator score set is:

[0143] Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj , E mj , H ej ,), the calculation steps are as follows:

[0144]

[0145]

[0146]

[0147] S5: Determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud;

[0148] The method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is as follows:

[0149] The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(Ex , E n , H e ,), the calculation steps are as follows:

[0150]

[0151]

[0152]

[0153] S6: Identifies the maturity level of the enterprise's supply chain capabilities;

[0154] The identified enterprise supply chain capability maturity levels include: planning level, standardization level, integration level, optimization level and leadership level. The maturity levels correspond to the matching standard cloud digital features;

[0155] The definition of enterprise supply chain capability proficiency level is shown in the following table:

[0156]

[0157]

[0158] S7: Match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated;

[0159] This embodiment also provides an enterprise digital supply chain capability evaluation system, which specifically includes:

[0160] Evaluation index system creation module, used to create a digital supply chain capability evaluation index system;

[0161] The steps for building the digital supply chain capability evaluation index system in the evaluation index system creation module include:

[0162] (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance;

[0163] (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established;

[0164] (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model;

[0165] (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship;

[0166] The evaluation index and its evaluation score acquisition module is used to obtain the evaluation index and evaluation score of the digital supply chain of the enterprise to be evaluated to form an index score set;

[0167] The step of obtaining the indicator score set is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set;

[0168] A combination weight determination module, used to determine the combination weight of each evaluation index in the index score set;

[0169] The calculation method of the combined weight of each evaluation indicator in the indicator score set in the combined weight determination module is:

[0170] (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ;

[0171] (2) Calculate b i The weight vector of :

[0172]

[0173]

[0174] (3) Calculate the absolute weight of each secondary indicator

[0175]

[0176] (4) Calculate the relative weight w of each evaluation index i :

[0177]

[0178] (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert;

[0179] (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ;

[0180] (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij :

[0181]

[0182] (8) Calculate the entropy value e of the j-th secondary index j :

[0183]

[0184] (9) Calculate the objective weight w of the secondary index j :

[0185]

[0186] (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows:

[0187] w=αw j +(1-α)w i

[0188]

[0189] An evaluation cloud determination module, used to determine the evaluation cloud of each evaluation indicator in the indicator score set;

[0190] The method for determining the evaluation cloud of each evaluation indicator in the indicator score set is:

[0191] Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj , E mj , H ej ,), the calculation steps are as follows:

[0192]

[0193]

[0194]

[0195] A comprehensive evaluation cloud determination module is used to determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud;

[0196] The method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is as follows:

[0197] The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(E x , E n , H e,), the calculation steps are as follows:

[0198]

[0199]

[0200]

[0201] Maturity level identification module, used to identify the maturity level of the enterprise's supply chain capabilities;

[0202] The enterprise supply chain capability maturity levels identified in the maturity level identification module include: planning level, specification level, integration level, optimization level and leadership level, and the maturity levels correspond to matching standard cloud digital features;

[0203] The maturity matching module is used to match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated;

[0204] Embodiment 2:

[0205] This embodiment is a case analysis of a method and system for evaluating the digital supply chain capabilities of an enterprise. This case takes GX Company as the case object and uses the evaluation model constructed in the above embodiment to conduct a comprehensive evaluation of its digital supply chain maturity.

[0206] First, determine the indicator weights.

[0207] We invited three university experts who focus on digital supply chain academic research, one strategic operations president of an advanced manufacturing company, and one supply chain senior director with rich supply chain management experience to jointly score the various indicators of digital supply chain maturity assessment. The subjective weight value, objective weight value, and combined weight value are calculated by the above step S3, and the results are shown in the following table:

[0208]

[0209]

[0210] Analysis of the above calculation results shows that digital supply chain strategy, digitalization of supply chain processes and digital enabling technologies are of significant importance in evaluating the maturity of digital supply chains, while digital capabilities of supply chain employees and digital supply chain performance are relatively secondary. In the digital supply chain strategy, the digital investment strategy of the upstream and downstream supply chains is the core evaluation indicator; for the digitalization of supply chain processes, the role of planned digital collaborative management is particularly prominent; the weight distribution of each secondary indicator under the digital capabilities of employees is relatively balanced; the digital middle platform capabilities of the supply chain are the key factors in measuring digital enabling technologies; and supply chain sustainability is of great significance for evaluating the performance of digital supply chains.

[0211] In summary, in the digitalization of digital supply chain processes, the company's subjective initiative factors, such as strategic planning, digital management of the transformation process, and digital enablement level, all play an important role that cannot be ignored.

[0212] Conduct cloud model evaluation and analysis.

[0213] In the domain [0, 100], set H e0 =0.1, the study used the golden section method to generate five standard evaluation clouds. Subsequently, combined with the professional opinions of the above five experts, the digital characteristics of the standard clouds of each maturity level were set. The specific values ​​and characteristics are detailed in the small table:

[0214]

[0215] A questionnaire survey was conducted on 30 employees of the Global Supply Chain Management Center of GX Company. These employees came from multiple key departments such as the Sales Management Department, Raw Materials Procurement Center, Production Planning Department, and Warehousing and Logistics Department. The cloud digital features of 18 secondary indicators were calculated according to the corresponding formulas in the constructed supply chain evaluation model. Then, the evaluation cloud digital features of the secondary indicators and the single-layer weights were aggregated according to the corresponding formulas in the supply chain evaluation model. The evaluation cloud digital features of each secondary indicator are shown in the following table:

[0216]

[0217] From the results in the above table, we can see that the maturity of each secondary indicator of the digital supply chain of GX Company calculated by using the OWA operator-entropy weight and cloud model is at the "integration level" and "optimization level".

[0218] According to the cloud digital features evaluated in the above table, the reverse cloud generator of MATLAB software is used to generate cloud images of five main dimensions, as follows Figure 5-8 As shown in the table, combining the cloud digital characteristics and cloud map in the table shows that the digital supply chain strategy and digital enabling technology have entered the optimization level, while the digitalization of supply chain processes, digital capabilities of employees, and digital supply chain performance are still at the integration level.

[0219] According to the corresponding formula in the supply chain evaluation model, the evaluation cloud digital features and combined weights of the secondary indicators are aggregated to calculate the digital features of the comprehensive cloud evaluation of GX Company R' (62.9, 15.466, 6.922). The reverse cloud generator of MATLAB software is used again to generate the maturity cloud map, as shown in Figure 5 As shown, the comprehensive evaluation cloud of GX's digital supply chain maturity is between the "integration level" and the "optimization level", and is closer to the "optimization level". According to the principle of maximum membership, we believe that GX's digital supply chain maturity has entered the "optimization level". By comprehensively considering the overall operation of the company's digital supply chain, the evaluation results are consistent with the actual development of GX, verifying the applicability and accuracy of the digital supply chain maturity evaluation model constructed in this embodiment.

[0220] However, to achieve the "optimization level" in all dimensions, GX still needs to implement targeted improvements in several key areas. Specifically, in terms of digital supply chain strategy, its strategy and IT level have reached the "optimization level", but upstream and downstream investment is still at the "integration level", which has become a bottleneck. In order to break through the current state, the company needs to strengthen upstream and downstream digital investment and deepen cooperation with raw material suppliers. It can improve response efficiency by building a data sharing platform. At the same time, it should increase investment in e-commerce and mobile channels to optimize customer experience. In terms of digital processes, although the material procurement process has reached the "optimization level", the planning, ordering, production and other processes still need to be improved. The company should use digital technology to optimize each link, such as enhancing raw material demand forecasting, establishing an online order management system, intelligently planning production plans, using the Internet of Things for precise delivery and collaborative management of the entire manufacturing life cycle, so as to comprehensively promote the supply chain to the "optimization level". In terms of employee digital capabilities, GX needs to start with employees' digital thinking and awareness, identify and make up for employee skill shortcomings, combine internal and external resources, strengthen digital knowledge and experience, and improve data management and analysis capabilities to enable employees to reach the "optimization level". In terms of enabling technology, the supply chain digital platform capabilities and data-driven intelligent optimization and decision-making algorithm capabilities are already leading, but the AI-driven supply chain risk warning capabilities need to be strengthened. The company can improve the real-time monitoring and prediction capabilities of the supply chain by introducing advanced AI technology and big data analysis tools, thereby improving the risk warning level. In terms of performance, sustainability performance is excellent, but resilience and economy need to be improved. In the future, GX should make full use of digital monitoring to improve response speed, predict market trends, and formulate flexible strategies to enhance flexibility; at the same time, it should further optimize processes, reduce manual intervention, and use the Internet of Things and sharing economy models to improve asset efficiency and utilization, so as to reduce operating costs and improve the economy of the supply chain.

[0221] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for evaluating the digital supply chain capability of an enterprise, characterized in that: The evaluation method includes: S1: Create a digital supply chain capability evaluation indicator system; S2: Obtain the digital supply chain evaluation indicators and their evaluation scores of the enterprise to be evaluated to form an indicator score set; S3: Determine the combined weight of each evaluation indicator in the indicator score set; S4: Determine the evaluation cloud of each evaluation indicator in the indicator score set; S5: Determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud; S6: Identifies the maturity level of the enterprise's supply chain capabilities; S7: Match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated; The steps for building the digital supply chain capability evaluation index system in S1 include: (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance; (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established; (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model; (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship; The enterprise supply chain capability maturity levels identified in the S6 include: planning level, specification level, integration level, optimization level and leadership level, and the maturity levels correspond to matching standard cloud digital features.

2. According to claim 1, a method for evaluating the digital supply chain capability of an enterprise is characterized by: The step of obtaining the indicator score set in S2 is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set.

3. According to claim 1, a method for evaluating the digital supply chain capability of an enterprise is characterized in that: The calculation method of the combined weight of each evaluation index in the index score set in S3 is: (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ; (2) Calculate b i The weight vector of : (3) Calculate the absolute weight of each secondary indicator (4) Calculate the relative weight w of each evaluation index i : (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert; (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ; (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij : (8) Calculate the entropy value e of the j-th secondary index j : (9) Calculate the objective weight w of the secondary index j : (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows: w=αw j + ( 1-a)w i 4. According to claim 1, a method for evaluating the digital supply chain capability of an enterprise is characterized in that: The method for determining the evaluation cloud of each evaluation indicator in the indicator score set is: Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj , E mj , H ej ,), the calculation steps are as follows:

5. The method for evaluating the digital supply chain capability of an enterprise according to claim 1, characterized in that: The method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is: The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(E x , E n , H e ,), the calculation steps are as follows:

6. An enterprise digital supply chain capability evaluation system, characterized by: The system specifically comprises: Evaluation index system creation module, used to create a digital supply chain capability evaluation index system; The evaluation index and its evaluation score acquisition module is used to obtain the evaluation index and evaluation score of the digital supply chain of the enterprise to be evaluated to form an index score set; A combination weight determination module, used to determine the combination weight of each evaluation indicator in the indicator score set; An evaluation cloud determination module, used to determine the evaluation cloud of each evaluation indicator in the indicator score set; A comprehensive evaluation cloud determination module is used to determine the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated based on the combined weight and the evaluation cloud; Maturity level identification module, used to identify the maturity level of the enterprise's supply chain capabilities; The maturity matching module is used to match the comprehensive evaluation cloud with the maturity level of the enterprise's supply chain capabilities to determine the maturity level of the enterprise to be evaluated; The steps for building the digital supply chain capability evaluation index system in the evaluation index system creation module include: (1) Set supply chain evaluation dimensions: digital supply chain strategy, digital supply chain process, employee digital capabilities, digital enabling technologies, and digital supply chain performance; (2) Taking the digital supply chain strategy as the input layer, the digitalization of supply chain processes, employee digital capabilities, and digital enabling technologies as the process layer, and the digital supply chain performance as the output layer, a mapping relationship for supply chain evaluation is established; (3) Determine at least 18 secondary indicators under each evaluation dimension based on the SCOR-DS model; (4) establishing a digital supply chain capability evaluation index system based on the evaluation dimensions, the secondary indicators and the mapping relationship; The enterprise supply chain capability maturity levels identified in the maturity level identification module include: planning level, specification level, integration level, optimization level and leadership level, and the maturity levels correspond to matching standard cloud digital features.

7. The enterprise digital supply chain capability evaluation system according to claim 6 is characterized by: The step of obtaining the indicator score set in the evaluation indicator and evaluation score acquisition module is to score the secondary indicators of the enterprise to be evaluated based on the digital supply chain capability evaluation indicator system to obtain the indicator score set.

8. The enterprise digital supply chain capability evaluation system according to claim 7 is characterized by: The calculation method of the combined weight of each evaluation index in the index score set in the combined weight determination module is: (1) Obtain the index score set (a1, a2, …, a n ), re-arrange the index score set in descending order to obtain b1>b2>…>b n ; (2) Calculate b i The weight vector of : (3) Calculate the absolute weight of each secondary indicator (4) Calculate the relative weight w of each evaluation index i : (5) Construct the original evaluation matrix A = (a ij ) m×n , where a ij is the evaluation value of the jth secondary indicator by the nth evaluation expert; (6) The evaluation matrix A is normalized to obtain the matrix B = (b ij ) m×n ; (7) Calculate the weight X of the jth secondary indicator in the i-th supply chain expert ij : (8) Calculate the entropy value e of the j-th secondary index j : (9) Calculate the objective weight w of the secondary index j : (10) By calculating the subjective weight w i and objective weight w j Perform linear weighting to calculate the final combined weight w of the secondary indicators. The calculation steps are as follows: w=αw j + ( 1-a)w i 9. The enterprise digital supply chain capability evaluation system according to claim 6, characterized in that: The method for determining the evaluation cloud of each evaluation indicator in the indicator score set is: Get the evaluation matrix P(p i1 , p i2 ,…,p in ) to obtain the digital features R of n indicators j =(E xj , E mj , H ej ,), the calculation steps are as follows:

10. The enterprise digital supply chain capability evaluation system according to claim 6, characterized in that: The method for determining the comprehensive evaluation cloud of the digital supply chain of the enterprise to be evaluated is: The combined weight w is combined with the evaluation cloud of each indicator to obtain the comprehensive evaluation cloud R'(E x , E n , H e ,), the calculation steps are as follows:

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