Epr supply chain management method and system based on big data

Abstract

The application provides an EPR supply chain management method and system based on big data, which comprises the following steps: determining current position information and life cycle information of at least one product to be recycled; determining recycling position information of each product to be recycled according to the current position information and the life cycle information; inputting the current position information and the recycling position information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model; and recycling the product to be recycled based on the reverse logistics path. A plurality of recycling points are set, corresponding recycling position information is selected according to the current position information and the life cycle information of the product to be recycled, the reverse logistics path is determined based on the reverse logistics path planning model, and the final recycling position of the product to be recycled is determined before recycling, so that the recycling efficiency is improved, and additional storage costs and logistics costs are avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of supply chain, and particularly relates to an EPR supply chain management method and system based on big data. BACKGROUND

[0002] EPR (Extended Producer Responsibility) supply chain refers to a supply chain system in which producers bear more responsibilities in product life cycle management, such as product recycling, remanufacturing, waste disposal and the like. At present, product recycling is mostly carried out to a unified location, and then manual sorting is performed to determine the final destination of the recycled products, which is low in recycling efficiency and will increase additional storage costs, and if the final destination of the recycled products is inconsistent with the unified recycling location, additional logistics costs will also be generated. SUMMARY

[0003] The present application provides an EPR supply chain management method and system based on big data, which improves product recycling efficiency and reduces costs.

[0004] The present application provides an EPR supply chain management method based on big data, comprising:

[0005] determining current location information and life cycle information of at least one product to be recycled;

[0006] determining recycling location information of each product to be recycled according to the current location information and the life cycle information;

[0007] inputting the current location information and the recycling location information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model;

[0008] recycling the product to be recycled based on the reverse logistics path.

[0009] According to the EPR supply chain management method based on big data provided by the present application, the determination of the current location information and the life cycle information of the product to be recycled comprises:

[0010] analyzing a product recycling request in response to the product recycling request;

[0011] judging whether the current location information and the life cycle information of the product to be recycled are contained in the product recycling request;

[0012] if the current location information and the life cycle information of the product to be recycled are not contained in the product recycling request, determining the current location information and the life cycle information based on historical data of the product to be recycled.

[0013] According to the application, a big data-based EPR supply chain management method is provided, and the recycling location information of each of the products to be recycled is determined according to the current location information and the life cycle information, comprising:

[0014] According to the life cycle information, it is determined whether the product to be recycled can be recycled or not;

[0015] If the product to be recycled cannot be recycled, the recycling location information of each of the products to be recycled is determined based on the current location information.

[0016] According to the application, a big data-based EPR supply chain management method is provided, and the recycling location information of each of the products to be recycled is determined according to the current location information and the life cycle information, comprising:

[0017] If the product to be recycled can be recycled, a candidate recycling location matching the life cycle information is determined;

[0018] The recycling location information of each of the products to be recycled corresponding to the current location information is selected from the candidate recycling location.

[0019] According to the application, a big data-based EPR supply chain management method is provided, and the recycling location information of each of the products to be recycled is determined according to the current location information and the life cycle information, comprising:

[0020] The path generation unit is configured to generate a candidate path set based on the current location information and the recycling location information;

[0021] The path screening unit is configured to select the reverse logistics path from the candidate path set based on the constraint condition corresponding to the life cycle information.

[0022] According to the application, a big data-based EPR supply chain management method is provided, and the recycling location information of each of the products to be recycled is determined according to the current location information and the life cycle information, comprising:

[0023] The path optimization unit is configured to optimize the candidate path in the candidate path set.

[0024] The application also provides a big data-based EPR supply chain management system, comprising:

[0025] The first determination model is configured to determine the current location information and the life cycle information of at least one product to be recycled;

[0026] The second determination module is configured to determine the recycling location information of each of the products to be recycled according to the current location information and the life cycle information;

[0027] The planning module is configured to input the current location information and the recycling location information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model.

[0028] a recycling module configured to recycle the product to be recycled based on the reverse logistics path.

[0029] The application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method for EPR supply chain management based on big data according to any one of the above when executing the program.

[0030] The application further provides a non-transitory computer-readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the method for EPR supply chain management based on big data according to any one of the above.

[0031] The application further provides a computer program product, which includes a computer program, and the computer program is executable on a processor to implement the method for EPR supply chain management based on big data according to any one of the above.

[0032] The application provides the method and system for EPR supply chain management based on big data, sets multiple recycling points, selects corresponding recycling position information according to current position information and life cycle information of the product to be recycled, determines the reverse logistics path based on a reverse logistics path planning model, and determines the final recycling position of the product to be recycled before recycling, so that the recycling efficiency is improved, and additional storage cost and logistics cost are avoided. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0034] Figure 1 is a flowchart of the method for EPR supply chain management based on big data provided by the application;

[0035] Figure 2 is a structural schematic diagram of the system for EPR supply chain management based on big data provided by the application;

[0036] Figure 3 is a structural schematic diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0037] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below in conjunction with the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0038] It should be noted that in the description of the present application, the terms "comprise", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitation, the element defined by the statement "comprising a" does not exclude the presence of other identical elements in the process, method, article or device comprising the element. The terms "upper", "lower" and the like indicate the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise specified and limited, the terms "mount", "connect", "connect" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be connected inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0039] The terms "first", "second" and the like in the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second" and the like are generally a class, and do not limit the number of objects, for example, the first object can be one or more. In addition, "and / or" means at least one of the connected objects, and the character " / ", generally means that the front and rear associated objects are in a "or" relationship.

[0040] Figure 1 is a flowchart of the EPR supply chain management method based on big data provided by the present application, as shown in Figure 1 The present application provides an EPR supply chain management method based on big data, comprising the following steps:

[0041] Step S100, determining current location information and life cycle information of at least one product to be recycled.

[0042] The product type involved in the EPR (Extended Producer Responsibility) supply chain generally refers to those products subject to environmental regulations and required to be responsible for the entire life cycle (especially the recycling and processing stage) by the producer. Common products include electronic and electrical products, packaging materials, batteries and accumulators, automobile-related products, chemicals and hazardous waste.

[0043] The life cycle of the product in the EPR supply chain includes the product design stage, the production and manufacturing stage, the distribution and circulation stage, the consumption and use stage, and the recycling and processing stage. The product to be recycled provided by the present application can be in the distribution and circulation stage, the consumption and use stage, or the recycling and processing stage. The product in the distribution and circulation stage and the consumption and use stage can be directly redistributed and circulated without processing, while the product in the recycling and processing stage needs to be processed for classification and harmlessness before re-entering the distribution and circulation stage.

[0044] The present application determines whether the product to be recycled can directly enter the distribution and circulation stage or enter the distribution and circulation stage after recycling and processing by confirming the current location information and the life cycle information of the product to be recycled. It should be noted that for products that cannot be redistributed, direct processing is required.

[0045] Step S200, determining the recycling location information of each product to be recycled according to the current location information and the life cycle information.

[0046] Optionally, the determination of the recycling location information of each product to be recycled according to the current location information and the life cycle information comprises:

[0047] determining whether the product to be recycled can be recycled according to the life cycle information;

[0048] if the product to be recycled cannot be recycled, determining the recycling location information of each product to be recycled based on the current location information.

[0049] Optionally, the determination of the recycling location information of each product to be recycled according to the current location information and the life cycle information further comprises:

[0050] if the product to be recycled can be recycled, determining a candidate recycling location matching the life cycle information;

[0051] selecting the recycling location information of each product to be recycled corresponding to the current location information from the candidate recycling location.

[0052] Specifically, at least one product recycling point is set for products at different life cycle stages, and on this basis, multiple product recycling points are set for products at the same life cycle stage according to geographical positions, so as to reduce logistics costs and improve recycling efficiency.

[0053] According to the current position information and the life cycle information, the recycling position information of each product to be recycled is determined, specifically, the position information of a product recycling point that matches and meets a preset condition is screened from all product recycling points according to the current position information and the life cycle information, and the preset condition can be optimal cost, highest efficiency, etc.

[0054] In step S300, the current position information and the recycling position information are input into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model.

[0055] The reverse logistics path planning model includes candidate reverse logistics paths for different life cycle stages and different product recycling points, for the product to be recycled that can directly enter the distribution and circulation stage, a reverse logistics path can be selected as an output target with the highest efficiency, and the final destination of the reverse logistics path is the geographical position corresponding to the recycling position information, and for the product to be recycled in the recycling processing stage, the final destination of the reverse logistics path can not completely match the geographical position corresponding to the recycling position information.

[0056] In step S400, based on the reverse logistics path, the product to be recycled is recycled. After determining the reverse logistics path, the reverse logistics path is distributed to relevant personnel to recycle the product to be recycled.

[0057] Optionally, the current position information and the life cycle information of the product to be recycled are determined, including:

[0058] In step S110, in response to a product recycling request, the product recycling request is analyzed.

[0059] In step S120, it is judged whether the current position information and the life cycle information of the product to be recycled are included in the product recycling request.

[0060] In step S130, if the current position information and the life cycle information of the product to be recycled are not included in the product recycling request, the current position information and the life cycle information are determined based on historical data of the product to be recycled.

[0061] The product recycling request can be a product recycling request initiated by a consumer to actively return a product to a manufacturer, or a product recycling request initiated by a distributor or retailer to a manufacturer.

[0062] The consumer, distributor or retailer can initiate a product recycling request through the enterprise website, APP or third-party recycling platform. Preferably, the consumer, distributor or retailer can also initiate a product recycling request based on the product purchase order. If the consumer, distributor or retailer can initiate a product recycling request through the enterprise website, APP or third-party recycling platform, the current location information and life cycle information need to be filled in the product recycling request. If the product recycling request is initiated based on the product purchase order, it can be selected whether to fill in the current location information and life cycle information. The distributor or retailer can also initiate a product recycling request through the EPR supply chain management system, and at least needs to fill in the product unique identifier in the product recycling request.

[0063] For initiating a product recycling request based on a product purchase order and not filling in the current location information and life cycle information, or the distributor or retailer initiates a product recycling request through the EPR supply chain management system and only fills in the product unique identifier in the product recycling request, the current location information and life cycle information can be determined according to the product purchase order and the database of the EPR supply chain management system. Specifically, the delivery address of the product purchase order and the product registration location of the EPR supply chain management system are the current location information. The time interval between the product purchase order and the current time determines the life cycle information, and the time interval between the warehouse-out time of the EPR supply chain management system and the current time determines the life cycle information.

[0064] As an optional embodiment, the reverse logistics path planning model comprises:

[0065] A path generation unit is configured to generate a candidate path set based on the current location information and the recycling location information.

[0066] Based on the current location information and the recycling location information, a candidate path set is generated, specifically including judging whether the recycling location information is the location information of a product recycling point. If it is not the location information of a product recycling point, the current location information is taken as the starting point, and the recycling location information is taken as the destination. A map APP interface is called to obtain the path generated by the map APP, and a candidate path set is obtained.

[0067] If the recycling location information is the location information of a product recycling point, a plurality of candidate paths are generated according to the recycling specifications of the product recycling point as the candidate path set.

[0068] Specifically, the road network is represented as a weighted directed graph G ( V , E ), wherein: the node set V represents road intersections, key landmark points, the edge set E represents road segments, and each edge euv The weight comprises: , α, β, γ is a weight coefficient determined based on the recycling specification of the product recycling point.

[0069] Let the i path P i weight and:

[0070] ;

[0071] for screening diversity path deviation D(P i ,P j ) is expressed as:

[0072] ;

[0073] Use Dijkstra algorithm to find multiple paths P， For i =2 to k : for each edge e of P 1 , ..., P i-1 Generate a candidate path: remove edge e, find the path of the remaining graph, and select the new path with the smallest weight as P i .

[0074] Optionally, the reverse logistics path planning model further comprises:

[0075] A path optimization unit for optimizing candidate paths in the candidate path set. Specifically, a 2-opt algorithm can be applied to each path to reduce the intersection.

[0076] A path screening unit for selecting the reverse logistics path from the candidate path set based on constraint conditions corresponding to the life cycle information. The constraint conditions corresponding to the life cycle information can be cost optimization, efficiency maximization, etc. For example, the constraint conditions for the distribution and circulation stage and the consumption and use stage are efficiency maximization, and the constraint condition for the recycling processing stage is cost optimization.

[0077] The EPR supply chain management system based on big data provided by the present application is described below. The EPR supply chain management system based on big data described below can be referred to in conjunction with the EPR supply chain management method based on big data described above.

[0078] Figure 2 is a structural diagram of the EPR supply chain management system based on big data provided by the present application, asFigure 2 The application also provides an EPR supply chain management system based on big data, which comprises:

[0079] a first determination model 210 configured to determine current location information and life cycle information of at least one product to be recycled;

[0080] a second determination model 220 configured to determine recycling location information of each product to be recycled according to the current location information and the life cycle information;

[0081] a planning model 230 configured to input the current location information and the recycling location information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model;

[0082] a recycling model 240 configured to recycle the product to be recycled based on the reverse logistics path.

[0083] As an embodiment, the current location information and the life cycle information of the product to be recycled are determined by:

[0084] analyzing a product recycling request in response to the product recycling request;

[0085] determining whether the product recycling request contains the current location information and the life cycle information of the product to be recycled;

[0086] if the product recycling request does not contain the current location information and the life cycle information of the product to be recycled, determining the current location information and the life cycle information based on historical data of the product to be recycled.

[0087] As an embodiment, the recycling location information of each product to be recycled is determined according to the current location information and the life cycle information by:

[0088] determining whether the product to be recycled can be recycled according to the life cycle information;

[0089] if the product to be recycled cannot be recycled, determining the recycling location information of each product to be recycled based on the current location information.

[0090] As an embodiment, the application further comprises:

[0091] if the product to be recycled can be recycled, determining a candidate recycling location matching the life cycle information;

[0092] selecting the recycling location information of each product to be recycled corresponding to the current location information from the candidate recycling location.

[0093] As an embodiment, the reverse logistics path planning model comprises:

[0094] a path generation unit configured to generate a candidate path set based on the current location information and the recycling location information;

[0095] a path screening unit configured to select the reverse logistics path from the candidate path set based on a constraint condition corresponding to the life cycle information.

[0096] As an embodiment, the reverse logistics path planning model further comprises:

[0097] a path optimization unit configured to optimize a candidate path in the candidate path set.

[0098] Figure 3 An example of an entity structure diagram of an electronic device is shown in Figure 3 The electronic device can include a processor 310, a communications interface 320, a memory 330, and a communications bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other through the communications bus 340. The processor 310 can invoke a logical instruction in the memory 330 to execute a big data-based EPR supply chain management method, which comprises:

[0099] determining current location information and life cycle information of at least one product to be recycled;

[0100] determining recycling location information of each product to be recycled according to the current location information and the life cycle information;

[0101] inputting the current location information and the recycling location information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model;

[0102] recycling the product to be recycled based on the reverse logistics path.

[0103] In addition, the logic instructions in the memory 330 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor to enable a computer to execute the big data-based EPR supply chain management method provided by the above-mentioned methods, which comprises:

[0105] determining current position information and life cycle information of at least one product to be recycled;

[0106] determining recycling position information of each of the products to be recycled according to the current position information and the life cycle information;

[0107] inputting the current position information and the recycling position information into a preset reverse logistics path planning model to obtain a reverse logistics path output by the reverse logistics path planning model;

[0108] recycling the products to be recycled based on the reverse logistics path.

[0109] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, the computer program is executed by a processor to implement the big data-based EPR supply chain management method provided by the above-mentioned methods, which comprises:

[0110] determining current position information and life cycle information of at least one product to be recycled;

[0111] determining recycling position information of each of the products to be recycled according to the current position information and the life cycle information;

[0112] input the current position information and the recycling position information into a preset reverse logistics path planning model to obtain a reverse logistics path planned by the reverse logistics path planning model;

[0113] based on the reverse logistics path, recycling the product to be recycled.

[0114] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0115] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course, can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0116] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A big data-based EPR supply chain management method, characterized in that, include: Determine the current location and lifecycle information of at least one product to be recycled; The current location information is determined by the delivery address of the product purchase order or the product registration location in the EPR supply chain management system; the lifecycle information is determined based on the time interval between the outbound time and the current time in the EPR supply chain management system. Based on the current location information and the lifecycle information, determine the recycling location information for each of the products to be recycled; The current location information and the recycling location information are input into a preset reverse logistics path planning model to obtain the reverse logistics path output by the reverse logistics path planning model; Based on the reverse logistics path, the products to be recycled are recycled; The reverse logistics route planning model includes: The path generation unit is used to generate a candidate path set based on the current location information and the recovery location information; The route selection unit is used to select the reverse logistics route from the candidate route set based on constraints corresponding to lifecycle information; Based on the current location information and the recycling location information, a candidate path set is generated. Specifically, this includes determining whether the recycling location information is the location information of a product recycling point. If it is not the location information of a product recycling point, the current location information is used as the starting point and the recycling location information is used as the destination. The map APP interface is called to obtain the path generated by the map APP and the candidate path set is obtained. If the recycling location information is the location information of the product recycling point, multiple candidate paths are generated according to the recycling specifications of the product recycling point, which are then used as a candidate path set. Specifically, the road network is represented as a weighted directed graph. G =( V , E ), where: node set V represents Road intersections, key landmarks, and edge collection E indicates Road section, each side e uv Includes weights: , α、 β, γ The weighting coefficients are determined based on the recycling standards of the product recycling points; Let the first i Path P i Weights sum: ； Path deviation used to filter diversity D(P i ,P j ) Represented as: ； Use Dijkstra's algorithm to find multiple paths P， for i =2 to k : To P 1 ,...,P i-1 For each edge e, generate candidate paths: remove edge e, find the paths in the remaining graph, and select the new path with the smallest weight as the candidate path. P i ; Determining the current location and lifecycle information of at least one product to be recycled includes: In response to a product recycling request, the product recycling request is parsed; Determine whether the product recycling request contains the current location information and lifecycle information of the product to be recycled; If the product recycling request does not contain the current location information and lifecycle information of the product to be recycled, the current location information and lifecycle information are determined based on the historical data of the product to be recycled. The step of determining the recycling location information of each of the products to be recycled based on the current location information and the lifecycle information includes: Based on the lifecycle information, it is determined whether the product to be recycled can be reused. If the product to be recycled cannot be reused, the recycling location information of each product to be recycled is determined based on the current location information; If the product to be recycled can be reused, determine the candidate recycling location that matches the life cycle information; The recycling location information of each product to be recycled is obtained from the candidate recycling locations, corresponding to the current location information.

2. The big data-based EPR supply chain management method according to claim 1, characterized in that, The reverse logistics route planning model also includes: The path optimization unit is used to optimize the candidate paths in the candidate path set.

3. A big data-based ERP supply chain management system, characterized in that, include: The first determination model is used to determine the current location and lifecycle information of at least one product to be recycled; The current location information is determined by the delivery address of the product purchase order or the product registration location in the EPR supply chain management system; the lifecycle information is determined based on the time interval between the outbound time and the current time in the EPR supply chain management system. The second determining module is used to determine the recycling location information of each of the products to be recycled based on the current location information and the life cycle information; The planning module is used to input the current location information and the recycling location information into a preset reverse logistics path planning model to obtain the reverse logistics path output by the reverse logistics path planning model; The reverse logistics route planning model includes: The path generation unit is used to generate a candidate path set based on the current location information and the recovery location information; The route selection unit is used to select the reverse logistics route from the candidate route set based on constraints corresponding to lifecycle information; Based on the current location information and the recycling location information, a candidate path set is generated. Specifically, this includes determining whether the recycling location information is the location information of a product recycling point. If it is not the location information of a product recycling point, the current location information is used as the starting point and the recycling location information is used as the destination. The map APP interface is called to obtain the path generated by the map APP and the candidate path set is obtained. If the recycling location information is the location information of the product recycling point, multiple candidate paths are generated according to the recycling specifications of the product recycling point, which are then used as a candidate path set. Specifically, the road network is represented as a weighted directed graph. G =( V , E ), where: node set V represents Road intersections, key landmarks, and edge collection E indicates Road section, each side e uv Includes weights: , α、 β, γ The weighting coefficients are determined based on the recycling standards of the product recycling points; Let the first i Path P i Weights sum: ； Path deviation used to filter diversity D(P i ,P j ) Represented as: ； Use Dijkstra's algorithm to find multiple paths P， for i =2 to k :right P 1 ,..., P i-1 For each edge e, generate candidate paths: remove edge e, find the paths in the remaining graph, and select the new path with the smallest weight as the candidate path. P i ; The recycling module is used to recycle the products to be recycled based on the reverse logistics path. Determining the current location and lifecycle information of at least one product to be recycled includes: In response to a product recycling request, the product recycling request is parsed; Determine whether the product recycling request contains the current location information and lifecycle information of the product to be recycled; If the product recycling request does not contain the current location information and lifecycle information of the product to be recycled, the current location information and lifecycle information are determined based on the historical data of the product to be recycled. The step of determining the recycling location information of each of the products to be recycled based on the current location information and the lifecycle information includes: Based on the lifecycle information, it is determined whether the product to be recycled can be reused. If the product to be recycled cannot be reused, the recycling location information of each product to be recycled is determined based on the current location information; If the product to be recycled can be reused, determine the candidate recycling location that matches the life cycle information; The recycling location information of each product to be recycled is obtained from the candidate recycling locations, corresponding to the current location information.

4. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the big data-based EPR supply chain management method as described in claim 1 or 2.

5. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the big data-based EPR supply chain management method as described in claim 1 or 2.

6. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the big data-based EPR supply chain management method as described in claim 1 or 2.

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