Sorting logistics supply chain management system based on block chain

Abstract

The invention discloses a blockchain-based sorting logistics supply chain management system, which comprises a control processing module, an analysis management module and a feedback storage module, and is characterized in that the control processing module is in network connection with the analysis management module, and the analysis management module is in network connection with the feedback storage module; the control processing module is used for carrying out control processing on the sorting logistics supply chain, the analysis management module is used for carrying out optimization analysis management on the sorting logistics supply chain, and the feedback storage module is used for carrying out feedback storage on data information of the sorting logistics supply chain. The control processing module comprises an index weight module, an evidence processing module and an evaluation set module, the index weight module is in network connection with the evidence processing module, the evidence processing module is in network connection with the evaluation set module, and the evidence processing module is used for evidence processing of data information. The system has the characteristics of efficient management control and intelligent analysis processing.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a sorting logistics supply chain management system based on blockchain. Background Art

[0002] Under the background of deepening reform and rapid development of logistics enterprises, global production, trade and related logistics activities have been difficult to leave the port, an important node linking the global integrated supply chain, and logistics enterprises have also changed from low-value-added transportation and distribution centers to high-value-added integrated logistics service centers. Under this premise, the logistics service supply chain was born. Logistics enterprises and their upstream and downstream industries form a network of information exchange, cooperation and mutual trust, which will enhance the market competitiveness of the logistics service supply chain and promote the smooth completion of logistics activities. With the continuous advancement of economic globalization, the logistics service supply chain has shown its increasingly important position. However, the sorting logistics supply chain of logistics enterprises currently has problems of low operating efficiency and low security. Therefore, it is necessary to design a sorting logistics supply chain management system based on blockchain with efficient management control and intelligent analysis and processing. Summary of the invention

[0003] The purpose of the present invention is to provide a sorting logistics supply chain management system based on blockchain to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a blockchain-based sorting logistics supply chain management system, comprising: a control processing module, an analysis management module and a feedback storage module, the control processing module is network-connected to the analysis management module, the analysis management module is network-connected to the feedback storage module, the control processing module is used to perform control processing of the sorting logistics supply chain, the analysis management module is used to perform optimization analysis and management of the sorting logistics supply chain, and the feedback storage module is used to perform feedback storage of sorting logistics supply chain data information.

[0005] According to the above technical solution, the control processing module includes an indicator weight module, an evidence processing module and an evaluation set module. The indicator weight module is network-connected to the evidence processing module, and the evidence processing module is network-connected to the evaluation set module. The indicator weight module is used to perform indicator weight management of the sorting logistics supply chain, the evidence processing module is used to perform evidence processing of data information, and the evaluation set module is used to perform evaluation set control of the sorting logistics supply chain.

[0006] According to the above technical solution, the analysis management module includes a hierarchical module, a calculation analysis module and a result management module. The hierarchical module and the calculation analysis module are network-connected, the calculation analysis module and the result management module are electrically connected, the hierarchical module is used to perform hierarchical processing of the sorting logistics supply chain, the calculation analysis module is used to perform calculation analysis of the sorting logistics supply chain, and the result management module is used to control and manage the calculation result data information.

[0007] According to the above technical solution, the feedback storage module includes a feedback transmission module and a distributed storage module, the feedback transmission module is electrically connected to the distributed storage module, the feedback transmission module is used to perform feedback transmission processing of data information, and the distributed storage module is used to perform distributed storage control of data information.

[0008] According to the above technical solution, the operation method of the blockchain-based sorting logistics supply chain management system includes the following steps:

[0009] Step S1: In a logistics enterprise, the index weight processing and control of the enterprise's sorting logistics supply chain are performed;

[0010] Step S2: After completing the weight processing and control of the enterprise's sorting logistics supply chain indicators, the sorting logistics supply chain is subjected to evidence and evaluation set control;

[0011] Step S3: further optimizing, analyzing and managing the sorting logistics supply chain of the logistics enterprise;

[0012] Step S4: Feedback transmission and distributed storage of the sorting logistics supply chain data information of the logistics enterprise.

[0013] According to the above technical solution, step S1 further includes the following steps:

[0014] The index weights of the sorting logistics supply chain of logistics enterprises are processed by the AHP method. First, the hierarchical structure of the sorting logistics supply chain system is established. The hierarchical structure is divided into three levels: the total target layer, the criterion layer and the index layer. Then, the judgment matrix is ​​established. First, each layer is compared with the upper layer elements, so as to establish the corresponding judgment matrix for each layer and conduct the corresponding consistency analysis. Since the determination of the risk weight of the logistics service supply chain is a key step in risk assessment, the weight of the risk assessment index objectively reflects the influence of relevant factors on the risk of the port logistics service supply chain. The weight and score of each index can be combined to obtain a complete evaluation result. The AHP method has good processing capabilities when facing more complex problems with multiple objectives, multiple levels and multiple factors. Therefore, through this step, the relationship between the problem and the risk index of the enterprise logistics service supply chain can be clarified. The construction of the judgment matrix is ​​to compare the importance of the index layer factors and their corresponding intermediate criterion layer factors. In this problem, the relative importance is quantitatively described by the set nine-point scale method, which effectively improves the accuracy and efficiency of the weight analysis of the sorting logistics supply chain of logistics enterprises and avoids the generation of analysis and processing errors.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: Through the DS evidence theory, the risk assessment index weight data information is used as evidence, and the designated experts evaluate the system evidence in the form of scores through the sorting logistics supply chain system, and use the evidential value m as the indicator i , thereby establishing the corresponding evaluation set; because in the process of port logistics service supply chain risk assessment, some qualitative indicator information of sorting logistics supply chain is difficult to quantify, it is necessary to obtain the evaluation opinions of relevant experts and conduct quantitative processing. In the problem of port logistics service supply chain risk assessment, many indicators lack quantitative description methods, and expert evaluation is subjective and ambiguous. Therefore, through this step, the sorting logistics supply chain management analysis is more scientific and comprehensive;

[0017] Step S22: The evaluation set determines the judgment criteria for the risk status of the enterprise's sorting logistics service supply chain, which is composed of a collection of all indicator evaluation conclusions, wherein the sorting logistics service supply chain risk status is divided into five risk levels, namely low risk, lower risk, general risk, higher risk and high risk, and a corresponding data range is set for each level.

[0018] According to the above technical solution, step S3 further includes the following steps:

[0019] Step S31: Obtain the established hierarchical structure of the sorting logistics supply chain system, and perform corresponding evaluation set establishment processing respectively;

[0020] Step S32: After the evaluation set of the hierarchical structure of the sorting logistics supply chain system is established, the risk value P of each hierarchical structure is calculated through the basic credibility distribution function of the indicator. The formula is as follows:

[0021]

[0022] In the formula, k is the set credibility distribution coefficient, m i Evidence values ​​for corresponding indicators;

[0023] Step S33: After receiving the risk value calculation results of each hierarchy, match them with the risk level range data to obtain the corresponding sorting logistics supply chain system hierarchy risk level information.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: After obtaining the hierarchical risk level information of the sorting logistics supply chain system, the information is fed back to the workbench;

[0026] Step S42: The data information of the enterprise sorting logistics service supply chain is distributedly stored in the blockchain to effectively ensure the security of the data information.

[0027] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing a control processing module, an analysis management module and a feedback storage module, can clarify the relationship between the problem and the enterprise logistics service supply chain risk index, and construct a judgment matrix to compare the importance of the indicator layer factors and their corresponding intermediate criterion layer factors in pairs, wherein the relative importance under this problem is quantitatively described using a set nine-point scaling method, which effectively improves the accuracy and efficiency of the logistics enterprise's sorting logistics supply chain weight analysis, avoids the generation of analysis and processing errors, and can ensure the balance between accuracy and workload, so that the sorting logistics service supply chain management has sufficient effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0029] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 The present invention provides a technical solution: a sorting logistics supply chain management system based on blockchain, including: a control processing module, an analysis management module and a feedback storage module. The control processing module is network-connected to the analysis management module, and the analysis management module is network-connected to the feedback storage module. The control processing module is used to perform control processing of the sorting logistics supply chain, the analysis management module is used to perform optimization analysis and management of the sorting logistics supply chain, and the feedback storage module is used to perform feedback storage of sorting logistics supply chain data information.

[0032] The control processing module includes an indicator weight module, an evidence processing module and an evaluation set module. The indicator weight module is network-connected to the evidence processing module, and the evidence processing module is network-connected to the evaluation set module. The indicator weight module is used to manage the indicator weight of the sorting logistics supply chain, the evidence processing module is used to perform evidence processing of data information, and the evaluation set module is used to control the evaluation set of the sorting logistics supply chain.

[0033] The analysis and management module includes a hierarchical module, a calculation and analysis module and a result management module. The hierarchical module and the calculation and analysis module are connected to the network, and the calculation and analysis module and the result management module are used for electrical connection. The hierarchical module is used for hierarchical processing of the sorting logistics supply chain, the calculation and analysis module is used for calculation and analysis of the sorting logistics supply chain, and the result management module is used for control and management of calculation result data information.

[0034] The feedback storage module includes a feedback transmission module and a distributed storage module. The feedback transmission module is electrically connected to the distributed storage module. The feedback transmission module is used for performing feedback transmission processing of data information, and the distributed storage module is used for performing distributed storage control of data information.

[0035] The operation method of the sorting logistics supply chain management system based on blockchain includes the following steps:

[0036] Step S1: In a logistics enterprise, the index weight processing and control of the enterprise's sorting logistics supply chain are performed;

[0037] Step S2: After completing the weight processing and control of the enterprise's sorting logistics supply chain indicators, the sorting logistics supply chain is subjected to evidence and evaluation set control;

[0038] Step S3: further optimizing, analyzing and managing the sorting logistics supply chain of the logistics enterprise;

[0039] Step S4: Feedback transmission and distributed storage of the sorting logistics supply chain data information of the logistics enterprise.

[0040] Step S1 further comprises the following steps:

[0041] The index weights of the sorting logistics supply chain of logistics enterprises are processed by AHP method. First, the hierarchical structure of the sorting logistics supply chain system is established. The hierarchical structure is divided into three levels: the total target layer, the criterion layer and the index layer. Then, the judgment matrix is ​​established. First, each layer is compared with the upper layer elements, so as to establish the corresponding judgment matrix of each layer and conduct the corresponding consistency analysis. Since the determination of the risk weight of the logistics service supply chain is a key step in risk assessment, the weight of the risk assessment index objectively reflects the influence of relevant factors on the risk of the port logistics service supply chain. The weight and score of each index can be combined to obtain a complete evaluation result. The AHP method has good processing ability when facing more complex problems with multiple objectives, multiple levels and multiple factors. Therefore, through this step, the relationship between the problem and the risk index of the enterprise logistics service supply chain can be clarified. The construction of the judgment matrix is ​​to compare the importance of the index layer factors and their corresponding intermediate criterion layer factors. In this problem, the relative importance is quantitatively described by the set nine-point scale method, which effectively improves the accuracy and efficiency of the weight analysis of the sorting logistics supply chain of logistics enterprises and avoids the generation of analysis and processing errors.

[0042] Step S2 further comprises the following steps:

[0043] Step S21: Through the DS evidence theory, the risk assessment index weight data information is used as evidence, and the designated experts evaluate the system evidence in the form of scores through the sorting logistics supply chain system, and use the evidential value m as the indicator i , thereby establishing the corresponding evaluation set; because in the process of port logistics service supply chain risk assessment, some qualitative indicator information of sorting logistics supply chain is difficult to quantify, it is necessary to obtain the evaluation opinions of relevant experts and conduct quantitative processing. In the problem of port logistics service supply chain risk assessment, many indicators lack quantitative description methods, and expert evaluation is subjective and ambiguous. Therefore, through this step, the sorting logistics supply chain management analysis is more scientific and comprehensive;

[0044] Step S22: The evaluation set determines the judgment criteria for the risk status of the enterprise's sorting logistics service supply chain, which is composed of a collection of all indicator evaluation conclusions, in which the risk status of the sorting logistics service supply chain is divided into 5 risk levels, namely low risk, relatively low risk, general risk, relatively high risk and high risk, and a corresponding data range is set for each level. The accuracy of the evaluation of the system risk status increases with the increase in the refinement of the evaluation level division. A rough evaluation level is difficult to accurately evaluate the risk status, and an overly refined level division will cause excessive workload. Therefore, through this step, the balance between accuracy and workload can be guaranteed, so that the sorting logistics service supply chain management is sufficiently effective.

[0045] Step S3 further comprises the following steps:

[0046] Step S31: Obtain the established hierarchical structure of the sorting logistics supply chain system, and perform corresponding evaluation set establishment processing respectively; in this step, the nine-point scaling method is used to compare the factors in each hierarchical structure in pairs, to ensure the accuracy and credibility of the initial information collection, and to obtain the comprehensive weight of each risk evaluation indicator in the judgment matrix of factors at different risk levels, thereby improving the reliability of the indicator weight;

[0047] Step S32: After the evaluation set of the hierarchical structure of the sorting logistics supply chain system is established, the risk value P of each hierarchical structure is calculated through the basic credibility distribution function of the indicator. The formula is as follows:

[0048]

[0049] In the formula, k is the set credibility distribution coefficient, m i Evidence values ​​for corresponding indicators;

[0050] Step S33: After receiving the risk value calculation results of each hierarchy, match them with the risk level range data to obtain the corresponding sorting logistics supply chain system hierarchy risk level information.

[0051] Step S4 further comprises the following steps:

[0052] Step S41: After obtaining the hierarchical risk level information of the sorting logistics supply chain system, the information is fed back to the workbench;

[0053] Step S42: Distribute the data information of the enterprise's sorting logistics service supply chain in blockchain to effectively ensure the security of data information

[0054] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0055] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Blockchain-based sorting logistics supply chain management system, including: The control processing module, the analysis management module and the feedback storage module are characterized in that: the control processing module is connected to the analysis management module through a network, the analysis management module is connected to the feedback storage module through a network, the control processing module is used to perform control processing of the sorting logistics supply chain, the analysis management module is used to perform optimization analysis and management of the sorting logistics supply chain, and the feedback storage module is used to perform feedback storage of sorting logistics supply chain data information.

2. The blockchain-based sorting logistics supply chain management system according to claim 1 is characterized by: The control processing module includes an indicator weight module, an evidence processing module and an evaluation set module. The indicator weight module is network-connected to the evidence processing module, and the evidence processing module is network-connected to the evaluation set module. The indicator weight module is used to perform indicator weight management of the sorting logistics supply chain, the evidence processing module is used to perform evidence processing of data information, and the evaluation set module is used to perform evaluation set control of the sorting logistics supply chain.

3. The blockchain-based sorting logistics supply chain management system according to claim 1 is characterized by: The analysis management module includes a hierarchical module, a calculation and analysis module and a result management module. The hierarchical module and the calculation and analysis module are network-connected. The calculation and analysis module and the result management module are electrically connected. The hierarchical module is used to perform hierarchical processing of the sorting logistics supply chain. The calculation and analysis module is used to perform calculation analysis of the sorting logistics supply chain. The result management module is used to control and manage the calculation result data information.

4. The blockchain-based sorting logistics supply chain management system according to claim 1 is characterized by: The feedback storage module includes a feedback transmission module and a distributed storage module. The feedback transmission module is electrically connected to the distributed storage module. The feedback transmission module is used to perform feedback transmission processing of data information, and the distributed storage module is used to perform distributed storage control of data information.

5. The blockchain-based sorting logistics supply chain management system according to claim 1 is characterized by: The operation method of the blockchain-based sorting logistics supply chain management system includes the following steps: Step S1: In a logistics enterprise, the index weight processing and control of the enterprise's sorting logistics supply chain are performed; Step S2: After completing the weight processing and control of the enterprise's sorting logistics supply chain indicators, the sorting logistics supply chain is subjected to evidence and evaluation set control; Step S3: further optimizing, analyzing and managing the sorting logistics supply chain of the logistics enterprise; Step S4: Feedback transmission and distributed storage of the sorting logistics supply chain data information of the logistics enterprise.

6. The blockchain-based sorting logistics supply chain management system according to claim 5 is characterized by: The step S1 further comprises the following steps: The index weights of the sorting logistics supply chain of logistics enterprises are processed through the AHP method. First, the hierarchical structure of the sorting logistics supply chain system is established. The hierarchical structure is divided into three levels: the overall target layer, the criterion layer and the index layer. Then, the judgment matrix is ​​established. First, each layer is compared with each other based on the upper layer elements, so as to establish the judgment matrix corresponding to each layer and conduct corresponding consistency analysis.

7. The blockchain-based sorting logistics supply chain management system according to claim 5 is characterized by: The step S2 further comprises the following steps: Step S21: Through the DS evidence theory, the risk assessment index weight data information is used as evidence, and the designated experts evaluate the system evidence in the form of scores through the sorting logistics supply chain system, and use the evidential value m as the indicator i , thereby establishing the corresponding evaluation set; Step S22: The evaluation set determines the judgment criteria for the risk status of the enterprise's sorting logistics service supply chain, which is composed of a collection of all indicator evaluation conclusions, wherein the sorting logistics service supply chain risk status is divided into five risk levels, namely low risk, lower risk, general risk, higher risk and high risk, and a corresponding data range is set for each level.

8. The blockchain-based sorting logistics supply chain management system according to claim 5 is characterized by: The step S3 further comprises the following steps: Step S31: Obtain the established hierarchical structure of the sorting logistics supply chain system, and perform corresponding evaluation set establishment processing respectively; Step S32: After the evaluation set of the hierarchical structure of the sorting logistics supply chain system is established, the risk value P of each hierarchical structure is calculated through the indicator basic credibility distribution function. The formula is as follows: In the formula, k is the set credibility distribution coefficient, m i Evidence values ​​for corresponding indicators; Step S33: After receiving the risk value calculation results of each hierarchy, match them with the risk level range data to obtain the corresponding sorting logistics supply chain system hierarchy risk level information.

9. The blockchain-based sorting logistics supply chain management system according to claim 5 is characterized by: The step S4 further comprises the following steps: Step S41: After obtaining the hierarchical risk level information of the sorting logistics supply chain system, the information is fed back to the workbench; Step S42: The data information of the enterprise sorting logistics service supply chain is distributedly stored in the blockchain to effectively ensure the security of the data information.

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