Supply chain evaluation method and device

Abstract

The embodiment of the invention provides a supply chain evaluation method and device, and the method comprises the steps: obtaining the pre-evaluation grade of the maturity of a plurality of supply chains, and obtaining a plurality of evaluation indexes related to the maturity; for each supply chain, determining an evaluation mode of each evaluation index according to the pre-evaluation level, and obtaining a first score of the supply chain in each evaluation index according to the evaluation mode; determining the information entropy of each evaluation index according to the first score of each supply chain in each evaluation index; the information entropy represents the information amount reflected by the change degree of the first score of the evaluation index; according to the first score of the target supply chain at each evaluation index and the information entropy of each evaluation index, evaluating the maturity of the target supply chain to obtain a first maturity level of the target supply chain; the target supply chain is one of a plurality of supply chains. According to the embodiment of the invention, the evaluation accuracy of the supply chain maturity can be improved.

Description

Technical Field

[0001] This document relates to the field of data processing technology, and in particular to a supply chain evaluation method and apparatus. Background Technology

[0002] In related technologies, a supply chain refers to a functional network structure that starts with the procurement of raw materials, passes through various nodes in the chain, and delivers products to consumers. Supply chain maturity is a comprehensive evaluation indicator used to measure the completeness, stability, and evolution potential of a supply chain during its operation.

[0003] Given the significant differences in organizational structures across different supply chains, using a uniform standard to evaluate their maturity can lead to inaccurate assessments. This is because a single standard may struggle to adapt to the varying capabilities of different structures, potentially misinterpreting structural differences as capability differences. Therefore, improving the accuracy of supply chain maturity assessments is receiving increasing attention. Summary of the Invention

[0004] This disclosure provides a supply chain evaluation method and apparatus to address the problem of improving the accuracy of supply chain evaluation.

[0005] In a first aspect, embodiments of this disclosure provide a supply chain evaluation method, including: Obtain a pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to the maturity level; For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level, and the first score of the supply chain for each of the evaluation indicators is obtained based on the evaluation method. Based on the first scores of each of the supply chains for each of the evaluation indicators, the information entropy of each of the evaluation indicators is determined; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. The maturity of the target supply chain is evaluated based on its first score on each of the evaluation indicators and the information entropy of each of the evaluation indicators, thereby obtaining a first maturity level for the target supply chain; the target supply chain is one of the plurality of supply chains.

[0006] Secondly, embodiments of this disclosure provide a supply chain evaluation device, comprising: The data acquisition unit is used to acquire the pre-evaluation level of the maturity of multiple supply chains, and to acquire multiple evaluation indicators related to the maturity level. The scoring acquisition unit is used to determine the evaluation method of each evaluation indicator for each of the supply chains based on the pre-evaluation level, and to obtain the first score of the supply chain for each of the evaluation indicators based on the evaluation method. An information entropy determination unit is used to determine the information entropy of each of the evaluation indicators based on the first scores of each of the supply chains for each of the evaluation indicators; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. A maturity evaluation unit is used to evaluate the maturity of the target supply chain based on the first score of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, and to obtain the first maturity level of the target supply chain; the target supply chain is one of the plurality of supply chains.

[0007] Thirdly, embodiments of this disclosure provide an electronic device, including: a memory, a processor, and computer-executable instructions stored in the memory and executable on the processor, wherein the computer-executable instructions, when executed by the processor, implement the method described in the first aspect above.

[0008] Fourthly, embodiments of this disclosure provide a computer-readable storage medium for storing computer-executable instructions that, when executed by a processor, implement the method described in the first aspect above.

[0009] Fifthly, embodiments of this disclosure provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the method described in the first aspect above.

[0010] In one or more embodiments of this disclosure, firstly, pre-evaluation levels of maturity for multiple supply chains are obtained, and multiple evaluation indicators related to maturity are obtained; then, for each supply chain, the evaluation method for each evaluation indicator is determined based on the pre-evaluation level, and the first score of the supply chain for each evaluation indicator is obtained based on the evaluation method; next, the information entropy of each evaluation indicator is determined based on the first score of each supply chain for each evaluation indicator; the information entropy represents the amount of information reflected by the degree of change in the first score of the evaluation indicator; finally, the maturity of the target supply chain is evaluated based on the first score of the target supply chain for each evaluation indicator and the information entropy of each evaluation indicator, to obtain the first maturity level of the target supply chain; the target supply chain is one of multiple supply chains. As can be seen, through this embodiment, on the one hand, by first determining the scoring method using the pre-evaluation level, and then obtaining the first score through the scoring method, the first score is used to evaluate the maturity of the target supply chain. This approach can narrow the evaluation scope by leveraging the pre-evaluation level, improve scoring efficiency, and make the first score more closely reflect the characteristics of the current development stage of the supply chain. On the other hand, by using the first scores of each supply chain on each evaluation indicator to determine the information entropy of each evaluation indicator, and then using the information entropy and the first score together to evaluate the maturity of the target supply chain, the impact of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators. This achieves objective assignment of evaluation indicator weights, reduces subjective bias, and thus improves the accuracy of supply chain evaluation. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in one or more embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments recorded in this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart illustrating a supply chain evaluation method provided in one embodiment of this disclosure; Figure 2 A schematic diagram of a maturity evaluation system provided in an embodiment of this disclosure; Figure 3 A flowchart illustrating another supply chain evaluation method provided in an embodiment of this disclosure; Figure 4 This is a schematic diagram of the structure of a supply chain evaluation device provided in an embodiment of the present disclosure; Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present disclosure. Detailed Implementation

[0013] To enable those skilled in the art to better understand the technical solutions in one or more embodiments of this disclosure, the technical solutions in one or more embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of the embodiments. Based on one or more embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of this document.

[0014] This disclosure provides a supply chain evaluation method and apparatus that can improve the accuracy of supply chain evaluation. The supply chain evaluation method can be applied to a server-side system and implemented by server-side equipment, which can be a single server, a server cluster consisting of several servers, or one or more cloud servers within a cloud computing platform.

[0015] Figure 1 This is a flowchart illustrating a supply chain evaluation method provided in one embodiment of this disclosure. Figure 1 As shown, the process includes: Step S102: Obtain the pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to maturity.

[0016] Step S104: For each supply chain, determine the evaluation method for each evaluation indicator based on the pre-evaluation level, and obtain the first score of the supply chain for each evaluation indicator based on the evaluation method.

[0017] Step S106: Determine the information entropy of each evaluation indicator based on the first score of each supply chain for each evaluation indicator; information entropy represents the amount of information reflected by the degree of change in the first score of the evaluation indicator.

[0018] Step S108: Evaluate the maturity of the target supply chain based on its first score on each evaluation indicator and the information entropy of each evaluation indicator to obtain the first maturity level of the target supply chain; the target supply chain is one of multiple supply chains.

[0019] In this embodiment, firstly, the pre-evaluation levels of maturity for multiple supply chains are obtained, along with multiple evaluation indicators related to maturity. Then, for each supply chain, the evaluation method for each evaluation indicator is determined based on the pre-evaluation level, and the first score of the supply chain for each evaluation indicator is obtained based on the evaluation method. Next, the information entropy of each evaluation indicator is determined based on the first score of each supply chain for each evaluation indicator; the information entropy represents the amount of information reflected by the degree of change in the first score of the evaluation indicator. Finally, the maturity of the target supply chain is evaluated based on the first score of the target supply chain for each evaluation indicator and the information entropy of each evaluation indicator, resulting in the first maturity level of the target supply chain. The target supply chain is one of multiple supply chains. As can be seen, through this embodiment, on the one hand, by first determining the scoring method using the pre-evaluation level, and then obtaining the first score through the scoring method, the first score is used to evaluate the maturity of the target supply chain. This approach can narrow the evaluation scope by leveraging the pre-evaluation level, improve scoring efficiency, and make the first score more closely reflect the characteristics of the current development stage of the supply chain. On the other hand, by using the first scores of each supply chain on each evaluation indicator to determine the information entropy of each evaluation indicator, and then using the information entropy and the first score together to evaluate the maturity of the target supply chain, the impact of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators. This achieves objective assignment of evaluation indicator weights, reduces subjective bias, and thus improves the accuracy of supply chain evaluation.

[0020] In step S102 above, obtaining the pre-evaluation level of maturity for multiple supply chains refers to obtaining the pre-evaluation level related to maturity for each supply chain among the multiple supply chains. In this embodiment, each supply chain can be treated as an evaluation object among the multiple supply chains.

[0021] In one example, the supply chain could be a Digital Supply Chain (DSC) in the communications field. A DSC is a network-based supply chain system built upon next-generation information technologies such as the Internet, the Internet of Things, big data, and artificial intelligence. It is value-creation oriented, customer-centric, and data-driven, planning, executing, controlling, and optimizing the entire supply chain business process, and holistically planning the flow of goods, information, and capital. This system facilitates data integration, resource sharing, and business collaboration.

[0022] Maturity is a comprehensive evaluation indicator used to measure the completeness, stability, and evolution potential of a supply chain during its operation. The pre-evaluation level associated with maturity refers to the maturity level obtained from a preliminary assessment of the supply chain's maturity.

[0023] In one embodiment, obtaining a pre-evaluation level of maturity for multiple supply chains includes: for each supply chain, obtaining the document review results of the supply chain; determining the pre-evaluation level of the supply chain based on the document review results; the pre-evaluation level is one of multiple preset evaluation levels.

[0024] Obtaining the document review results for the supply chain can be achieved by acquiring documents related to the supply chain, reviewing them according to the review methods for each preset evaluation level, and thus obtaining the document review results for the supply chain. Among multiple preset evaluation levels, a review method can be set for each preset evaluation level. In one example, for preset evaluation level X, the review method is set as follows: if the documents related to the supply chain include at least: Document 1, Document 2, and Document 3, then the supply chain meets the review requirements of preset evaluation level X. In another example, for preset evaluation level Y, the review method is set as follows: if the documents related to the supply chain include at least: Document 4, and the content of Document 4 relates to the supply chain procurement system, the supply chain procurement system is scored. If the score indicates that the corresponding system meets the basic requirements of the procurement system, then the supply chain meets the review requirements of preset evaluation level Y.

[0025] In one example, supply chain-related documents include, but are not limited to: work plans of supply chain-related departments such as procurement, planning, production, logistics, sales, and service; job descriptions for supply chain management positions; a list of digital tools for supply chain deployment; supply chain planning and management processes; supply chain procurement policies; and so on.

[0026] The aforementioned pre-defined evaluation level review method constrains the review objectives during the document review process. In the process of reviewing documents with reference to the review objectives, this embodiment can employ technical means such as text intent recognition, information extraction, and semantic retrieval.

[0027] In one example, the following process is executed during the document review: (a1) Utilize AIGC (Artificial Intelligence Generated Content) technology and NLP (Natural Language Processing) technology to automatically parse and deeply understand key documents in the digital supply chain, such as strategic planning, organizational structure, business process systems, and other related documents; (a2) By extracting key information and vectorizing unstructured documents, a unified knowledge source is constructed as the core of the RAG (Retrieval-Augmented Generation) system, laying the foundation for subsequent intelligent retrieval and reasoning; (a3) The document review agent compares the document content with the pre-set digital supply chain maturity level standards in the knowledge base through semantic retrieval and pattern matching, and automatically identifies whether there are any ambiguous expressions, missing evidence, or obvious contradictions in the evidence related to specific level requirements in the document. (a4) The document review agent performs comprehensive analysis and judgment based on the results of the pre-test, gives an evaluation score, and uses the evaluation score to determine the document review result.

[0028] Multiple preset evaluation levels can be combined Figure 2 Tables 1 and 2 are provided as examples. Figure 2 This is a schematic diagram of a maturity evaluation system provided in one embodiment of the present disclosure.

[0029] In one example, based on the SCOR-DS (Supply Chain Operations Reference Digital Standard) international model, a comprehensive evaluation index system for digital supply chains in the communications field is constructed. This system includes a total of 4 evaluation domains and 17 evaluation subdomains.

[0030] like Figure 2 As shown, evaluation domain information 201 includes the following four evaluation domains: supply chain system design 2011, supply chain platform empowerment 2012, supply chain business operation 2013, and supply chain efficiency and effectiveness 2014. The evaluation subdomains of each evaluation domain can be found in Table 1 below:

[0031] Table 1 Table 1 above provides example evaluation domain information for a supply chain evaluation system according to an embodiment of this disclosure. This example evaluation domain information includes at least four evaluation domains and 17 evaluation subdomains. D1 represents supply chain 1, D1.1 represents the first evaluation subdomain of supply chain 1, and the other serial numbers follow the same logic.

[0032] like Figure 2 As shown, maturity information 202 includes five preset evaluation levels arranged from low to high maturity: Basic Start-up Level 2021, Unit Optimization Level 2022, Integrated Interconnection Level 2023, Full-Chain Connectivity Level 2024, and Ecosystem Intelligence Level 2025. Each preset evaluation level reflects the gradual development process of the supply chain from basic digitalization to full intelligence. Different level characteristics are set for each of the above preset evaluation levels, as shown in Table 2 below:

[0033] Table 2 Table 2 above provides example level information for a supply chain evaluation system according to an embodiment of this disclosure. This example level information includes five preset evaluation levels. L1 represents maturity level 1, and the other levels are similarly defined.

[0034] The pre-evaluation level of the supply chain is determined based on the document review results. In one example, there are four pre-defined evaluation levels arranged from lowest to highest maturity: L1, L2, L3, and L4. If the document review results indicate that the supply chain only meets the review requirements for L1, but not for L2, L3, and L4, then the pre-evaluation level of the supply chain is determined to be L1. In another example, there are five pre-defined evaluation levels arranged from lowest to highest maturity: L1, L2, L3, L4, and L5. If the document review results indicate that the supply chain meets the review requirements for L1, L2, and L3, but not for L4 and L5, then the pre-evaluation level of the supply chain is determined to be L3.

[0035] In one example, after performing steps (a1)-(a4) above, the document review result is obtained: evaluation score S1. Based on this evaluation score S1 and the corresponding scoring ranges for each preset evaluation level, the pre-evaluation level of the supply chain can be determined. The corresponding scoring ranges for each preset evaluation level can be found in Table 3 below.

[0036]

[0037] Table 3 Table 3 above shows the corresponding scoring ranges for each preset evaluation level in a supply chain evaluation system provided in an embodiment of this disclosure.

[0038] For example, if the evaluation object is supply chain A, and the data provider of supply chain A applies for an evaluation level of L1 basic level, then the evaluation score S1 obtained by the document review agent of the digital supply chain needs to be greater than 0 and less than 40.

[0039] As can be seen from this embodiment, the review results of the documents can be fully utilized to conduct a preliminary evaluation of the maturity level of the supply chain, obtain a pre-evaluation level, and then use the pre-evaluation level to narrow the evaluation scope and improve the scoring efficiency.

[0040] In one embodiment, obtaining the document review results of the supply chain includes: receiving an evaluation request for the supply chain; the evaluation request carries a third evaluation level; reviewing the supply chain-related documents according to the review task list corresponding to the third evaluation level to obtain the document review results; and determining the pre-evaluation level of the supply chain based on the document review results, including: if the document review results indicate that the review has passed, then determining the third evaluation level as the pre-evaluation level.

[0041] In this embodiment, the data provider in the supply chain can proactively submit an evaluation request for the supply chain, which carries a third evaluation level. The third evaluation level can be one of several preset evaluation levels. The evaluation request can be used to request an evaluation of whether supply chain-related documents meet the review requirements of the third evaluation level. Receiving the evaluation request for the supply chain can mean receiving the evaluation request submitted by the data provider in the supply chain.

[0042] Each preset evaluation level can have a corresponding review task list, as shown in Table 4.

[0043]

[0044] Table 4 Table 4 above is an example review task list for a preset evaluation level L1 in a supply chain evaluation system provided by an embodiment of this disclosure. This example review task list includes at least four evaluation domains, main documents, evaluation items, and document review points. F1 represents document 1, C1 represents document review point 1, and the other serial numbers are similar.

[0045] In the process of reviewing supply chain-related documents according to the review task list corresponding to the third evaluation level and obtaining the document review results, the target documents to be reviewed and the review requirements for the target documents can be determined according to the review task list corresponding to the third evaluation level; and the supply chain-related documents can be reviewed according to the target documents and the review requirements for the target documents to obtain the document review results.

[0046] If the document review result indicates that the review has passed, then the third evaluation level will be determined as the pre-evaluation level.

[0047] Additionally, if the document review result indicates that the review is unsuccessful, a supply chain analysis report can be generated based on the review task list corresponding to the third evaluation level and the document review result. This analysis report can include the review requirements that the supply chain failed to meet for the third evaluation level. In one example, the third evaluation level is L1, and the analysis report includes: For supply chain B, regarding the document examination point "C6 Supply Chain Procurement System" in the main document "F5 Supply Chain Procurement System," its procurement system is incomplete, and the content S1 is vague and needs optimization.

[0048] As can be seen, this embodiment can respond to evaluation requests and conduct document review for the maturity level specified in the evaluation request, thereby narrowing the scope of review and improving the efficiency of obtaining pre-evaluation levels.

[0049] In step S102 above, multiple evaluation indicators related to maturity are obtained.

[0050] Multiple evaluation indicators related to maturity can be determined by the evaluation domains and subdomains of each evaluation domain in a pre-defined maturity evaluation system. In one example, the maturity evaluation system includes a total of 4 evaluation domains and 17 evaluation subdomains, as shown in Table 1 above, where each evaluation subdomain can correspond to one or more evaluation indicators.

[0051] In one embodiment, obtaining multiple evaluation indicators related to maturity includes: for each supply chain, obtaining data features related to the initial set of evaluation indicators for the supply chain; and filtering the initial set of evaluation indicators based on the data features to obtain multiple evaluation indicators related to maturity.

[0052] The initial set of evaluation indicators can be determined by the evaluation domains and subdomains of each evaluation domain in a pre-defined maturity evaluation system. In one example, the maturity evaluation system includes a total of 4 evaluation domains and 17 evaluation subdomains, and the initial set of evaluation indicators can include 17 evaluation indicators, with each of the 17 evaluation subdomains corresponding to one of the 17 evaluation indicators.

[0053] For each supply chain, data characteristics related to the supply chain and the initial set of evaluation indicators are acquired. In one example, the supply chain evaluation system involves four evaluation domains: supply chain system design, supply chain platform empowerment, supply chain business operation, and supply chain efficiency and effectiveness. Electronic devices can automatically collect and identify the data characteristics of the supply chain in these four evaluation domains through API (Application Programming Interface). These data characteristics can include attributes and indicators such as business model information and network structure information that characterize the operational status of the supply chain.

[0054] Based on data characteristics, the initial set of evaluation indicators is filtered to obtain multiple evaluation indicators related to maturity. For example, based on the data characteristics related to supply chain business operations of supply chain C, it can be determined that supply chain C does not possess some sub-domains of business in "Supply Chain Business Operations (D3)": "Diversified Sourcing and Procurement (D3.2)" and "Accurate Order Delivery (D3.4)". Therefore, the evaluation indicators corresponding to the evaluation sub-domain "Diversified Sourcing and Procurement (D3.2)" and the evaluation indicators corresponding to the evaluation sub-domain "Accurate Order Delivery (D3.4)" can be removed from the initial set of evaluation indicators, resulting in multiple evaluation indicators related to the maturity of supply chain C.

[0055] As can be seen, through this embodiment, the evaluation domains and subdomains of the general evaluation system for the entire supply chain can be referenced, and personalized evaluation indicators that are suitable for a single supply chain can be selected from the initial set of evaluation indicators in combination with the data characteristics of a single supply chain. This allows for dynamic adjustment of the evaluation indicators adopted by each supply chain, avoiding problems such as data loss and weight mismatch caused by including subdomain business indicators not involved in the evaluation dimensions of a single supply chain. This solves the drawback of the evaluation results not matching the actual operating status.

[0056] In step S104 above, for each supply chain, the evaluation method for each evaluation indicator is determined based on the pre-evaluation level.

[0057] The evaluation method for each evaluation indicator can be understood as the method by which the indicator value is obtained. The following table (Table 5) provides an example illustration of the evaluation methods:

[0058] Table 5 Table 5 above is an example evaluation method for the evaluation subdomain "Supply Chain Strategic Planning (D1.1)" at the preset evaluation level L1 in a supply chain evaluation system provided by an embodiment of this disclosure.

[0059] For the same evaluation indicator, the evaluation method may differ under different preset evaluation levels. Table 6 below provides an example illustrating the evaluation methods for the same evaluation indicator under different preset evaluation levels.

[0060]

[0061] Table 6 Table 6 above provides an example evaluation method for the evaluation indicators of the evaluation subdomain "supply chain strategic planning" under various preset evaluation levels in a supply chain evaluation system provided by an embodiment of this disclosure.

[0062] For each supply chain, the evaluation method for each evaluation indicator is determined based on the pre-evaluation level. In one example, for supply chain D, the pre-evaluation level is L2. The evaluation method for the evaluation indicators of supply chain D in the evaluation subdomain "Supply Chain Strategic Planning" can be obtained from Table 6 above.

[0063] In step S104 above, the first score of the supply chain for each evaluation indicator is obtained according to the evaluation method. In one example, the first score of each evaluation indicator sent by the evaluator is received through a preset scoring data collection port. This first score can be determined by the evaluator based on the degree of conformity between the actual situation of the supply chain and the evaluation method. The actual situation of the supply chain can be determined based on the supply chain's document review records and personnel interview records.

[0064] In one example, for an evaluation indicator, the evaluation method of which includes one or more evaluation items, the first score of the evaluation indicator can be determined based on the scores of each evaluation item. Different degrees of compliance of the evaluation items (compliant, basically compliant, partially compliant, non-compliant) correspond to four score values, as shown in Table 7 below.

[0065]

[0066] Table 7 Table 7 above shows example scores for different degrees of compliance of evaluation items in a supply chain evaluation system provided in an embodiment of this disclosure.

[0067] In addition, during the process of obtaining the first score, the initial data collected can be standardized and its consistency verified, and data that is not filled in, is missing, or has too large a deviation can be automatically screened and filtered.

[0068] In step S106 above, the information entropy of each evaluation indicator is determined based on the first score of each supply chain for each evaluation indicator. Information entropy is a quantitative indicator that measures the magnitude of uncertainty of a random variable. Specifically, in this embodiment, information entropy represents the amount of information reflected by the degree of change in the first score of the evaluation indicator.

[0069] In one embodiment, determining the information entropy of each evaluation indicator based on the first score of each supply chain for each evaluation indicator includes: normalizing the first score to obtain a second score; calculating the feature weight of each supply chain related to each evaluation indicator based on the second score of each supply chain for each evaluation indicator; and calculating the information entropy of each evaluation indicator based on the feature weight of each supply chain related to each evaluation indicator.

[0070] In this embodiment, the preset evaluation system involves multiple evaluation domains and subdomains of each evaluation domain, with each subdomain corresponding to an evaluation indicator. Based on the first score of each supply chain on each evaluation indicator, the original data matrix of the evaluated object can be constructed. Where n is the number of samples being evaluated, i.e., the number of supply chains is n, and m is the number of evaluation indicators. The value of evaluation index j for the evaluated sample i, i.e. This represents the first score of the i-th supply chain in evaluation index j. , .

[0071] In the process of normalizing the first score to obtain the second score, the deviation standardization method can be used to normalize the original data matrix X of the evaluated object, resulting in a standardized matrix X'. The standardization formula and the standardization matrix are as follows: (1) (2) in, This represents the first score of the i-th supply chain in evaluation index j. Represents the normalized result That is, the second score of the i-th supply chain in evaluation index j. This represents the standardized matrix obtained after normalizing the original data matrix X, where n is the number of samples being evaluated and m is the number of evaluation indicators. , .

[0072] Based on the second score of each supply chain for each evaluation indicator, the weight of the characteristics related to each supply chain and each evaluation indicator can be calculated using the following formula: (3) in, This represents the second score of the i-th supply chain in evaluation metric j. This represents the proportion of features related to evaluation indicator j for the i-th supply chain, where n is the number of samples being evaluated, and m is the number of evaluation indicators. , .

[0073] Based on the weighting of characteristics related to each supply chain and each evaluation indicator, the information entropy of each evaluation indicator can be calculated using the following formula: (4) in, This represents the proportion of features related to evaluation indicator j in the i-th supply chain. Let represent the information entropy of the j-th evaluation indicator, n be the number of samples being evaluated, and m be the number of evaluation indicators. , .

[0074] As can be seen, through this embodiment, the first scores of each supply chain on each evaluation indicator can be used together to determine the amount of information reflected by the degree of change of the first score for each evaluation indicator, so that the information entropy of each evaluation indicator is determined by multiple evaluated objects at the present time, which is more real-time.

[0075] In another embodiment, determining the information entropy of each evaluation indicator based on the first score of each supply chain on each evaluation indicator may include: grouping each supply chain into supply chain groups based on each evaluation indicator of each supply chain; and determining the information entropy of each evaluation indicator corresponding to each supply chain group based on the first score of each supply chain in each evaluation indicator of each supply chain group.

[0076] Considering that the multiple evaluation indicators related to maturity for each supply chain can be selected from the initial set of evaluation indicators, the multiple evaluation indicators related to maturity for each supply chain can be different.

[0077] In one example, the maturity-related evaluation indicators for supply chain A include: evaluation indicator 1, evaluation indicator 2, evaluation indicator 3, and evaluation indicator 4. The maturity-related evaluation indicators for supply chain B include: evaluation indicator 1, evaluation indicator 2, evaluation indicator 5, and evaluation indicator 6. The maturity-related evaluation indicators for supply chain C include: evaluation indicator 1, evaluation indicator 2, evaluation indicator 3, and evaluation indicator 4, and so on.

[0078] Based on the various evaluation indicators of each supply chain, the supply chains are grouped to form supply chain groups. This can be achieved by calculating the similarity of the evaluation indicator types among the supply chains, and grouping supply chains with similarity scores greater than a preset similarity threshold together. For example, supply chain A may have multiple evaluation indicators related to maturity, including: evaluation indicator 1, evaluation indicator 2, evaluation indicator 3, and evaluation indicator 4. Supply chain C may also have multiple evaluation indicators related to maturity, including: evaluation indicator 1, evaluation indicator 2, evaluation indicator 3, and evaluation indicator 4. Supply chains A and C are then grouped together.

[0079] As can be seen, this embodiment allows supply chains with similar evaluation metrics to be used together to generate information entropy, thus improving the accuracy of information entropy calculation.

[0080] In step S108 above, the maturity of the target supply chain is evaluated based on its first score on each evaluation indicator and the information entropy of each indicator, resulting in a first maturity level for the target supply chain. In this embodiment, the target supply chain can be any one of multiple supply chains. The processing method is the same for each of the multiple supply chains; this step uses any one of them as an example to illustrate the evaluation method for the supply chain. The first maturity level can be used to represent the overall maturity level of the target supply chain.

[0081] In this embodiment, the Entropy Weight Method (EWM) can be used to determine the weights of each evaluation index. EWM is an objective weighting method based on information entropy.

[0082] In the process of evaluating the maturity of the target supply chain based on its first score and information entropy on each evaluation indicator to obtain its first maturity level, the weight of each evaluation indicator can be determined based on its information entropy. Based on the weight of each indicator and the target supply chain's first score on each evaluation indicator, the comprehensive score of the target supply chain is calculated. The maturity of the target supply chain is then evaluated based on the comprehensive score to obtain its first maturity level.

[0083] The weight of each evaluation indicator can be determined based on its information entropy, using the following formula: (5) in, This represents the information entropy of the j-th evaluation index. This represents the difference coefficient of the j-th evaluation indicator, where m is the number of evaluation indicators. .

[0084] (6) in, This represents the information entropy of the j-th evaluation index. This represents the difference coefficient of the j-th evaluation index. This represents the weight of the j-th evaluation indicator, where m is the number of evaluation indicators. The above. ,and .

[0085] In the process of evaluating the maturity of the target supply chain based on the comprehensive score and obtaining the first maturity level of the target supply chain, the preset evaluation level corresponding to the target score interval can be determined as the first maturity level of the target supply chain according to the target score interval corresponding to each score interval of the comprehensive score.

[0086] In one embodiment, the maturity of the target supply chain is evaluated based on its first score on each evaluation indicator and the information entropy of each evaluation indicator to obtain a first maturity level of the target supply chain. This includes: obtaining a standard cloud for each preset evaluation level; determining a comprehensive evaluation cloud for the target supply chain based on its first score on each evaluation indicator and the information entropy of each evaluation indicator; calculating the similarity between the comprehensive evaluation cloud and the standard cloud for each preset evaluation level; and determining the first maturity level of the target supply chain based on the similarity.

[0087] This embodiment can evaluate the maturity of the supply chain by establishing a cloud model.

[0088] In the process of obtaining the standard cloud for each preset evaluation level, the effective value range U of the evaluation index can be taken as [0, 100] and divided into 5 sub-intervals. Then, based on the upper and lower bounds of the scoring interval [x... min ,x max ], calculate the cloud evaluation characteristic parameter C for each rating interval. m (E xm E nm E em ), m=1,2,…,5, the calculation formula is as follows: (7) (8) (9) in, Let be the expected value of the standard cloud in the m-th rating interval. Let m be the entropy of the standard cloud in the m-th rating interval. Let x be the hyperentropy of the standard cloud in the m-th rating interval. min This refers to the minimum value of the m-th rating interval, x. max This refers to the maximum value in the m-th rating interval. k is a constant and can be customized.

[0089] In determining the comprehensive evaluation cloud of the target supply chain based on its first score on each evaluation indicator and the information entropy of each evaluation indicator, the following operations can be performed: determine the evaluation cloud of the target supply chain based on its first score on each evaluation indicator; determine the weight of each evaluation indicator based on the information entropy of each evaluation indicator; and determine the comprehensive evaluation cloud of the target supply chain based on its evaluation cloud and the weight of each evaluation indicator.

[0090] The evaluation cloud for the target supply chain is determined based on its top score across all evaluation metrics, using the following formula: (10) (11) (12) in, Let the expected value of the standard cloud for the target supply chain in the j-th evaluation metric be denoted as . Let the entropy of the target supply chain in the j-th evaluation metric be the standard cloud. The hyperentropy of the standard cloud for the target supply chain in the j-th evaluation index. This can be represented as the first score obtained by the i-th expert for the j-th evaluation indicator, targeting the supply chain. n is the number of experts. . and The meaning is the same. As mentioned above The meaning is the same. As mentioned above The meanings are the same.

[0091] Based on the evaluation cloud of the target supply chain and the weights of each evaluation indicator, a comprehensive evaluation cloud for the target supply chain is determined. The numerical characteristic parameter R' of this comprehensive evaluation cloud is... , , The method for obtaining ) can be referred to the following formula: (13) (14) (15) in, The expected value of the cloud for the comprehensive evaluation of the target supply chain. The entropy of the cloud is used for a comprehensive evaluation of the target supply chain. The hyperentropy of the cloud is used for the comprehensive evaluation of the target supply chain. Let the expected value of the standard cloud for the target supply chain in the j-th evaluation metric be denoted as . Let the entropy of the target supply chain in the j-th evaluation metric be the standard cloud. The hyperentropy of the standard cloud for the target supply chain in the j-th evaluation index. This represents the weight of the j-th evaluation indicator, where m is the number of evaluation indicators. .

[0092] Calculate the similarity between the comprehensive evaluation cloud and the standard clouds for each preset evaluation level. In one example, calculate the similarity between the comprehensive evaluation cloud and the standard clouds for each preset evaluation level. Cloud evaluation feature parameter C for each rating interval m (E xm E nm E em ) Cloud model similarity for m=1,2,…,5 .

[0093] The first maturity level of the target supply chain can be determined based on similarity. This can be achieved by setting the preset evaluation level corresponding to the scoring range with the highest similarity as the first maturity level of the target supply chain.

[0094] As can be seen, through this embodiment, the first score can be converted into an evaluation cloud by establishing a cloud model. A comprehensive evaluation cloud is generated by using the weights of each evaluation indicator and the evaluation cloud. The comprehensive evaluation cloud is then compared with the standard cloud of each preset evaluation level, thereby realizing the evaluation of the maturity of the target supply chain. Moreover, the cloud model can support objective comparative analysis of the maturity level of digital supply chains at different levels, with different attributes, and at different times.

[0095] In one embodiment, the supply chain evaluation method further includes: determining the comprehensive score of the target supply chain in each evaluation domain based on the first score of the target supply chain in each evaluation indicator and the pre-set correspondence between the evaluation domain and the evaluation indicator; evaluating the maturity of the target supply chain in each evaluation domain based on the comprehensive score of the target supply chain in each evaluation domain, and obtaining the second maturity level of the target supply chain in each evaluation domain.

[0096] An evaluation domain can include multiple evaluation subdomains, and each evaluation subdomain can correspond to one or more evaluation indicators. Therefore, there is a correspondence between the evaluation domain and the evaluation indicators.

[0097] Based on the target supply chain's first score in each evaluation indicator and the pre-defined correspondence between evaluation domains and evaluation indicators, the comprehensive score of the target supply chain in each evaluation domain is determined. In one example, evaluation domain D1 corresponds to: evaluation indicator 1, evaluation indicator 2, and evaluation indicator 3. Based on the first score of evaluation indicator 1, the first score of evaluation indicator 2, the first score of evaluation indicator 3, and the weights of each evaluation indicator, the comprehensive score of evaluation domain D1 can be determined.

[0098] Based on the comprehensive scores of the target supply chain across each evaluation domain, the maturity level of the target supply chain in each domain is evaluated, resulting in a second maturity level for the target supply chain in each domain. The second maturity level can be used to indicate the level of maturity of the target supply chain in a single evaluation domain. The second maturity levels of the target supply chain in each rating domain can be the same or different.

[0099] In summary, through the embodiments of this disclosure, on the one hand, by first determining the scoring method using the pre-evaluation level, and then obtaining the first score through the scoring method, the first score is used to evaluate the maturity of the target supply chain. This approach can narrow the evaluation scope by leveraging the pre-evaluation level, improve scoring efficiency, and make the first score more closely reflect the characteristics of the current development stage of the supply chain. On the other hand, by using the first scores of each supply chain on each evaluation indicator to determine the information entropy of each evaluation indicator, and then using the information entropy and the first score together to evaluate the maturity of the target supply chain, the impact of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators. This achieves objective assignment of evaluation indicator weights, reduces subjective bias, and thus improves the accuracy of supply chain evaluation.

[0100] Based on the same technical concept, this disclosure also provides another supply chain evaluation method. Figure 3 A flowchart illustrating another supply chain evaluation method provided in an embodiment of this disclosure.

[0101] Step S302: Create and input the evaluation system.

[0102] Step S304: Determine the pre-evaluation level.

[0103] This step can be referred to the corresponding explanation section of step S102 above.

[0104] Step S306: Determine the final evaluation model.

[0105] This step can be referred to the corresponding explanations in step S102, "obtain multiple evaluation indicators related to the maturity level", and in step S104, "for each supply chain, determine the evaluation method of each evaluation indicator according to the pre-evaluation level".

[0106] For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level. Step S308: Collect quantitative data of indicators.

[0107] This step can be referred to the corresponding explanation section of step S104 above.

[0108] Step S310: Determine the overall score.

[0109] Step S312: Determine the evaluation results and output a report.

[0110] In one example, the evaluation inputs, data processing procedures, weight allocation, maturity calculation results, and final level can be integrated to generate a structured evaluation report. The report can be viewed interactively online and can also be exported to a specified file format.

[0111] Steps S310-S312 can be referred to the corresponding descriptions of steps S106-S108 above.

[0112] Since the technical concept is the same, the description in this embodiment is relatively simple. For the relevant parts, please refer to the corresponding descriptions of the method embodiments provided above.

[0113] Figure 4 This is a schematic diagram of the structure of a supply chain evaluation device provided in an embodiment of the present disclosure, as shown below. Figure 4 As shown, the device includes: The data acquisition unit 401 is used to acquire the pre-evaluation level of the maturity of multiple supply chains, and to acquire multiple evaluation indicators related to the maturity. The scoring acquisition unit 402 is used to determine the evaluation method of each evaluation indicator for each of the supply chains according to the pre-evaluation level, and to obtain the first score of the supply chain in each of the evaluation indicators according to the evaluation method. Information entropy determination unit 403 is used to determine the information entropy of each of the evaluation indicators based on the first scores of each of the supply chains for each of the evaluation indicators; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. Maturity evaluation unit 404 is used to evaluate the maturity of the target supply chain based on the first score of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, and to obtain the first maturity level of the target supply chain; the target supply chain is one of the plurality of supply chains.

[0114] Optionally, when acquiring the pre-evaluation levels of maturity for multiple supply chains, the data acquisition unit 401 performs the following steps: For each of the aforementioned supply chains, obtain the document review results for that supply chain; The pre-evaluation level of the supply chain is determined based on the results of the document review; the pre-evaluation level is one of a plurality of preset evaluation levels.

[0115] Optionally, when acquiring the document review results of the supply chain, the data acquisition unit 401 performs the following steps: Receive an evaluation request for the supply chain; the evaluation request carries a third evaluation level; Based on the review task list corresponding to the third evaluation level, the supply chain-related documents are reviewed to obtain the document review results; When determining the pre-evaluation level of the supply chain based on the document review results, the data acquisition unit 401 performs the following steps: If the document review result indicates that the review has passed, then the third evaluation level will be determined as the pre-evaluation level.

[0116] Optionally, when determining the information entropy of each evaluation indicator based on the first score of each of the various evaluation indicators for each of the various supply chains, the information entropy determination unit 403 performs the following steps: The first score is normalized to obtain the second score; Based on the second score of each of the supply chains for each of the evaluation indicators, calculate the feature weight of each of the supply chains related to each of the evaluation indicators; The information entropy of each evaluation indicator is calculated based on the proportion of features related to each supply chain and each evaluation indicator.

[0117] Optionally, when acquiring multiple evaluation indicators related to the maturity level, the data acquisition unit 401 performs the following steps: For each of the supply chains, obtain the data features related to the initial set of evaluation indicators for that supply chain; Based on the data characteristics, the initial set of evaluation indicators is filtered to obtain multiple evaluation indicators related to the maturity level.

[0118] Optionally, when the maturity evaluation unit 404 evaluates the maturity of the target supply chain based on the first scores of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, and obtains the first maturity level of the target supply chain, it performs the following steps: Obtain the standard cloud for each preset evaluation level; Based on the first scores of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, the comprehensive evaluation cloud of the target supply chain is determined; Calculate the similarity between the comprehensive evaluation cloud and the standard cloud for each of the preset evaluation levels; Based on the similarity, the first maturity level of the target supply chain is determined.

[0119] Optionally, the supply chain evaluation device further includes: a scoring determination unit; The scoring determination unit is used to determine the comprehensive score of the target supply chain in each of the evaluation domains based on the first score of the target supply chain in each of the evaluation indicators and the pre-set correspondence between the evaluation domains and the evaluation indicators. The maturity evaluation unit 404 is further configured to evaluate the maturity of the target supply chain in each of the evaluation domains based on the comprehensive score of the target supply chain in each of the evaluation domains, and obtain a second maturity level of the target supply chain in each of the evaluation domains.

[0120] In this embodiment, on the one hand, the scoring method is first determined using the pre-evaluation level, and then a first score is obtained through the scoring method. The first score is used to evaluate the maturity of the target supply chain. The evaluation scope can be narrowed by using the pre-evaluation level, which improves the scoring efficiency and makes the first score more in line with the characteristics of the current development stage of the supply chain. On the other hand, the information entropy of each evaluation indicator is determined by using the first scores of each supply chain for each evaluation indicator. Then, the information entropy and the first score are used together to evaluate the maturity of the target supply chain. The influence of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators, so as to achieve objective assignment of evaluation indicator weights, reduce subjective bias, and thus improve the accuracy of supply chain evaluation.

[0121] The supply chain evaluation device provided in one embodiment of this disclosure can realize the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0122] Furthermore, one embodiment of this disclosure also provides an electronic device, Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure, such as... Figure 5 As shown, the device includes: a memory 501, a processor 502, a bus 503, and a communication interface 504. The memory 501, the processor 502, and the communication interface 504 communicate via the bus 503. The communication interface 504 may include input / output interfaces, including but not limited to a keyboard, mouse, monitor, microphone, and loudspeaker.

[0123] Figure 5 In the memory 501, computer-executable instructions that can run on the processor 502 are stored. When the processor 502 executes the computer-executable instructions, the following process is implemented: Obtain a pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to the maturity level; For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level, and the first score of the supply chain for each of the evaluation indicators is obtained based on the evaluation method. Based on the first scores of each of the supply chains for each of the evaluation indicators, the information entropy of each of the evaluation indicators is determined; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. The maturity of the target supply chain is evaluated based on its first score on each of the evaluation indicators and the information entropy of each of the evaluation indicators, thereby obtaining a first maturity level for the target supply chain; the target supply chain is one of the plurality of supply chains.

[0124] In this embodiment, on the one hand, the scoring method is first determined using the pre-evaluation level, and then a first score is obtained through the scoring method. The first score is used to evaluate the maturity of the target supply chain. The evaluation scope can be narrowed by using the pre-evaluation level, which improves the scoring efficiency and makes the first score more in line with the characteristics of the current development stage of the supply chain. On the other hand, the information entropy of each evaluation indicator is determined by using the first scores of each supply chain for each evaluation indicator. Then, the information entropy and the first score are used together to evaluate the maturity of the target supply chain. The influence of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators, so as to achieve objective assignment of evaluation indicator weights, reduce subjective bias, and thus improve the accuracy of supply chain evaluation.

[0125] An electronic device provided in one embodiment of this disclosure can implement the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0126] Another embodiment of this disclosure also provides a computer-readable storage medium for storing computer-executable instructions that, when executed by a processor, implement the following process: Obtain a pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to the maturity level; For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level, and the first score of the supply chain for each of the evaluation indicators is obtained based on the evaluation method. Based on the first scores of each of the supply chains for each of the evaluation indicators, the information entropy of each of the evaluation indicators is determined; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. The maturity of the target supply chain is evaluated based on its first score on each of the evaluation indicators and the information entropy of each of the evaluation indicators, thereby obtaining a first maturity level for the target supply chain; the target supply chain is one of the plurality of supply chains.

[0127] In this embodiment, on the one hand, the scoring method is first determined using the pre-evaluation level, and then a first score is obtained through the scoring method. The first score is used to evaluate the maturity of the target supply chain. The evaluation scope can be narrowed by using the pre-evaluation level, which improves the scoring efficiency and makes the first score more in line with the characteristics of the current development stage of the supply chain. On the other hand, the information entropy of each evaluation indicator is determined by using the first scores of each supply chain for each evaluation indicator. Then, the information entropy and the first score are used together to evaluate the maturity of the target supply chain. The influence of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators, so as to achieve objective assignment of evaluation indicator weights, reduce subjective bias, and thus improve the accuracy of supply chain evaluation.

[0128] The computer-readable storage medium includes read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc.

[0129] The computer-readable storage medium provided in one embodiment of this disclosure can implement the various processes in the foregoing method embodiments and achieve the same functions and effects, which will not be repeated here.

[0130] Another embodiment of this disclosure also provides a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the following process: Obtain a pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to the maturity level; For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level, and the first score of the supply chain for each of the evaluation indicators is obtained based on the evaluation method. Based on the first scores of each of the supply chains for each of the evaluation indicators, the information entropy of each of the evaluation indicators is determined; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. The maturity of the target supply chain is evaluated based on its first score on each of the evaluation indicators and the information entropy of each of the evaluation indicators, thereby obtaining a first maturity level for the target supply chain; the target supply chain is one of the plurality of supply chains.

[0131] In this embodiment, on the one hand, the scoring method is first determined using the pre-evaluation level, and then a first score is obtained through the scoring method. The first score is used to evaluate the maturity of the target supply chain. The evaluation scope can be narrowed by using the pre-evaluation level, which improves the scoring efficiency and makes the first score more in line with the characteristics of the current development stage of the supply chain. On the other hand, the information entropy of each evaluation indicator is determined by using the first scores of each supply chain for each evaluation indicator. Then, the information entropy and the first score are used together to evaluate the maturity of the target supply chain. The influence of the evaluation indicators on the maturity level can be amplified or reduced by referring to the level of information entropy values ​​of the evaluation indicators, so as to achieve objective assignment of evaluation indicator weights, reduce subjective bias, and thus improve the accuracy of supply chain evaluation.

[0132] The computer program product in this disclosure embodiment can implement the various processes of the above-described supply chain evaluation method embodiment and achieve the same effects and functions, which will not be repeated here.

[0133] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0135] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0136] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0137] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0138] Memory may include non-persistent storage in computer-readable storage media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable storage media.

[0139] Computer-readable storage media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable storage media does not include transient media, such as modulated data signals and carrier waves.

[0140] It should also be noted that 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 limitation, 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 said element.

[0141] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0142] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A supply chain evaluation method, characterized in that, include: Obtain a pre-evaluation level of maturity for multiple supply chains, and obtain multiple evaluation indicators related to the maturity level; For each of the supply chains, the evaluation method for each of the evaluation indicators is determined based on the pre-evaluation level, and the first score of the supply chain for each of the evaluation indicators is obtained based on the evaluation method. Based on the first scores of each of the supply chains for each of the evaluation indicators, the information entropy of each of the evaluation indicators is determined; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. The maturity of the target supply chain is evaluated based on the first score of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, so as to obtain the first maturity level of the target supply chain. The target supply chain is one of the plurality of supply chains.

2. The method according to claim 1, characterized in that, The process of obtaining a pre-evaluation level of maturity for multiple supply chains includes: For each of the aforementioned supply chains, obtain the document review results for that supply chain; The pre-evaluation level of the supply chain is determined based on the results of the document review; the pre-evaluation level is one of a plurality of preset evaluation levels.

3. The method according to claim 2, characterized in that, The process of obtaining the document review results of the supply chain includes: Receive an evaluation request for the supply chain; the evaluation request carries a third evaluation level; Based on the review task list corresponding to the third evaluation level, the supply chain-related documents are reviewed to obtain the document review results; The step of determining the pre-evaluation level of the supply chain based on the document review results includes: If the document review result indicates that the review has passed, then the third evaluation level will be determined as the pre-evaluation level.

4. The method according to claim 1, characterized in that, The step of determining the information entropy of each evaluation indicator based on the first score of each of the supply chains on each of the evaluation indicators includes: The first score is normalized to obtain the second score; Based on the second score of each of the supply chains for each of the evaluation indicators, calculate the feature weight of each of the supply chains related to each of the evaluation indicators; The information entropy of each evaluation indicator is calculated based on the proportion of features related to each supply chain and each evaluation indicator.

5. The method according to claim 1, characterized in that, The acquisition of multiple evaluation indicators related to the maturity level includes: For each of the supply chains, obtain the data features related to the initial set of evaluation indicators for that supply chain; Based on the data characteristics, the initial set of evaluation indicators is filtered to obtain multiple evaluation indicators related to the maturity level.

6. The method according to claim 1, characterized in that, The step of evaluating the maturity of the target supply chain based on its first scores on each of the evaluation indicators and the information entropy of each of the evaluation indicators, to obtain a first maturity level for the target supply chain, includes: Obtain the standard cloud for each preset evaluation level; Based on the first scores of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, the comprehensive evaluation cloud of the target supply chain is determined; Calculate the similarity between the comprehensive evaluation cloud and the standard cloud for each of the preset evaluation levels; Based on the similarity, the first maturity level of the target supply chain is determined.

7. The method according to claim 1, characterized in that, The method further includes: Based on the first scores of the target supply chain in each of the evaluation indicators and the pre-set correspondence between the evaluation domains and the evaluation indicators, the comprehensive score of the target supply chain in each of the evaluation domains is determined. Based on the comprehensive scores of the target supply chain in each of the evaluation domains, the maturity of the target supply chain in each of the evaluation domains is evaluated to obtain the second maturity level of the target supply chain in each of the evaluation domains.

8. A supply chain evaluation device, characterized in that, include: The data acquisition unit is used to acquire the pre-evaluation level of the maturity of multiple supply chains, and to acquire multiple evaluation indicators related to the maturity level. The scoring acquisition unit is used to determine the evaluation method of each evaluation indicator for each of the supply chains based on the pre-evaluation level, and to obtain the first score of the supply chain for each of the evaluation indicators based on the evaluation method. An information entropy determination unit is used to determine the information entropy of each of the evaluation indicators based on the first scores of each of the supply chains for each of the evaluation indicators; the information entropy represents the amount of information reflected by the degree of change of the first score of the evaluation indicator. A maturity evaluation unit is used to evaluate the maturity of the target supply chain based on the first score of the target supply chain in each of the evaluation indicators and the information entropy of each of the evaluation indicators, and to obtain the first maturity level of the target supply chain. The target supply chain is one of the plurality of supply chains.

9. An electronic device, characterized in that, The method includes a memory and a processor, wherein the memory stores computer-executable instructions that, when executed on the processor, enable the implementation of the method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that, when executed by a processor, enable the implementation of the method described in any one of claims 1-7.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

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