Supply chain management system and method based on block chain

Abstract

The invention discloses a supply chain management system and method based on a block chain, and relates to the technical field of supply chain management, and the system comprises a consumer end, a producer end, a supplier end, and a distributed management platform. A producer side provides automobile order information and sends a query request to a distributed management platform, the producer side is used for obtaining the automobile order information to generate a planned production plan and sending the planned production plan to a supplier side, and the supplier side generates a supply chain output list according to the planned production plan. Actual production data and a planned production plan are approved through the distributed management platform to generate a real-time prompt and send the real-time prompt to a consumer end, and meanwhile, a production flow block chain is generated according to material sources and material-related processing technologies in each production node obtained from a supply chain output list; and obtaining the corresponding node in the production flow block chain according to the query request of the consumer side, thereby realizing transparent management of the supply chain.

Description

Technical Field

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

[0002] As the automotive manufacturing industry is booming, end consumers can place orders with automakers to customize personalized cars and agree on a delivery date with the automakers. Generally speaking, automakers can estimate the aforementioned delivery date by sharing the inventory of required materials with parts suppliers in real time.

[0003] However, for parts suppliers, a material shared with automakers can also be provided to other manufacturers, so the inventory of this material cannot be fully provided to automakers and is not effective for reference. On the other hand, due to the complex correspondence between materials and finished or semi-finished products, and the need for parts suppliers to cooperate with other upstream and downstream parts suppliers to connect the supply chain, parts suppliers need to allocate resources on their own to return the inventory shared with automakers. Although the upstream and downstream connections based on the supply chain in the existing technology have solved the problem of unequal supply and demand, from the consumer side, only the delivery date of the order can be understood, and the progress of the vehicle production process cannot be grasped in real time. At the same time, based on the needs of after-sales service, when there are quality problems with the car, it is also difficult to trace the supplier of spare parts;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to obtain corresponding nodes in the production process blockchain according to the query request of the consumer side, so as to realize transparent management of the supply chain.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a supply chain management system based on blockchain, comprising a consumer end, a producer end, a supplier end and a distributed management platform, wherein the consumer end is used to provide automobile order information to the producer end and send a query request to the distributed management platform, the producer end is used to obtain automobile order information to generate a proposed production plan and send it to the supplier end, the supplier end generates a supply chain output list according to the proposed production plan, and sends the supply chain output list to the distributed management platform;

[0007] The distributed management platform includes a data collection unit, a production monitoring unit, a blockchain integration unit and a traceability output unit;

[0008] The data acquisition unit is used to obtain real-time demand feedback data and real-time production process data from the supplier, integrate them into an actual production progress timeline, define verification nodes on the actual production progress timeline, and send the actual production progress timeline to the production monitoring unit;

[0009] The production monitoring unit is used to obtain the actual production progress timeline, and obtain the actual production data on the verification node one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate a real-time reminder and send it to the consumer end;

[0010] The blockchain integration unit is used to obtain the consumer account and the supply chain output list, generate a blockchain start node according to the consumer account and the order time, and obtain the material source and material-related processing technology in each production node according to the supply chain output list to generate a blockchain continuous node, generate a terminal node at the end of the production process, and integrate the blockchain start node, the blockchain continuous node and the terminal node into a production process blockchain according to the actual production progress timeline;

[0011] The traceability output unit is used to receive and process query requests from the consumer side, obtain the corresponding node in the production process blockchain according to the query request, and send the data stored in the node to the consumer side to achieve transparent management of the supply chain.

[0012] Furthermore, the consumer end includes a demand issuing module and an information interaction module, wherein:

[0013] The demand issuing module is used to obtain the consumer's car order information, which includes the orderer's identity information, car model and order time, and to establish a consumer's personal account based on the orderer's identity information, and send the car order information to the producer end;

[0014] The information interaction module is used to verify and log in to the consumer's personal account, receive real-time reminders from the distributed management platform, and send query requests to the supplier.

[0015] Furthermore, the producer side includes a demand acquisition module, a production scheduling module, and a progress prediction module, wherein:

[0016] The demand acquisition module is used to obtain automobile order information from the consumer side, and generate a proposed production schedule timeline based on the automobile model, order time and preset delivery cycle, and send it to the schedule prediction module;

[0017] The production scheduling module is used to obtain the real-time production progress, demand generation frequency and demand feedback frequency in the automobile production workshop, and calculate the demand feedback efficiency and send it to the progress prediction module;

[0018] The schedule forecasting module is used to obtain the proposed production schedule timeline, and generate a proposed production plan based on the generation efficiency coefficient and send it to the supplier.

[0019] Furthermore, the specific process of generating the proposed production plan is as follows:

[0020] S101, obtaining automobile order information, obtaining the order time, taking the order time as the starting point of the time axis, obtaining the standard production cycle from the production database according to the automobile model, and extending the standard production cycle to obtain the proposed production schedule time axis;

[0021] S102, obtaining the real-time production progress, demand generation frequency F1 and demand feedback frequency F2 in the automobile production workshop, wherein the real-time production progress includes the production line capacity efficiency Ui and the production line utilization rate Ki, wherein the production line capacity efficiency Ui is the ratio of the total number of automobiles that can be produced by the production line per day to the working cycle, and the production line utilization rate Ki is the ratio of the actual output to the maximum capacity;

[0022] S103. Calculate the demand feedback efficiency Ri according to the following formula: Among them, e1 and e2 are preset weight coefficients, which are used to normalize the data for calculation. The demand feedback efficiency reflects the effectiveness of demand response at each production node on the production line. The greater the demand feedback efficiency, the greater the effectiveness of demand response at the production node. Conversely, the smaller the demand feedback efficiency, the smaller the effectiveness of demand response at the production node.

[0023] S104. Delineate the main processing nodes, secondary processing nodes and post-processing nodes on the proposed production schedule timeline, mark the production process parameters and the supply chain demand information and demand feedback efficiency involved in the production process parameters on the main processing nodes, secondary processing nodes and post-processing nodes in turn, and integrate them to obtain the proposed production plan.

[0024] Furthermore, the supplier side is used to obtain and process the proposed production plan, which includes the proposed production schedule timeline, supply chain demand information and demand feedback efficiency, generates demand list data based on the supply chain demand information, generates demand effective time based on the proposed production schedule timeline, generates demand response time based on the demand feedback efficiency, and integrates the demand list data, demand effective time and demand response time to generate a supply chain output list.

[0025] Furthermore, the specific process of generating the supply chain output list is as follows:

[0026] S201. Obtain supply chain demand information, and derive demand list data based on the supply chain demand information as follows: power system list data, chassis system list data, body and related accessories list data, electrical system list data, interior and related accessories list data, fuel system list data, emission system list data, and other accessories list data;

[0027] S202. Obtain the verification time point Ti corresponding to the planned production schedule at each main processing node, secondary processing node, and post-processing node, obtain the demand feedback efficiency Ri, and calculate the demand response time T0 corresponding to the verification time point according to the following formula: T0=Ti+Ri*Ts, where Ts is the standard supply cycle of the demand;

[0028] S203. With the planned generation schedule time as the horizontal axis and each main processing node, secondary processing node, and post-processing node as the derivative axis, the demand list data, demand effective time, and demand response time are integrated into blockchain storage nodes, and the blockchain storage nodes are marked one by one on the corresponding derivative axis to generate a supply chain output list.

[0029] Furthermore, the specific process of generating real-time reminders is as follows: including normal progress reminders, progress delay reminders and demand response reminders

[0030] S301, obtaining an actual production schedule timeline, wherein the actual production schedule timeline includes real-time demand feedback data and real-time production process data, wherein the real-time demand feedback data is the demand acceptance time t1 and the demand feedback time t2, and the real-time production process data includes the real-time production cycle Tx, the demand application rate Pi and the new demand quantity M;

[0031] S302. Calculate the supply-demand efficiency coefficient Ht in actual production based on the real-time demand feedback data and the real-time production process data: Where d is the preset normalization coefficient, the demand application rate Pi is the ratio between the actual quantity obtained in the demand and the actual quantity used, and the supply and demand efficiency coefficient reflects the actual demand in actual production and the probability that the demand is effectively fed back and utilized. The larger the supply and demand efficiency coefficient, the greater the probability that the demand is effectively met in actual production. Conversely, the smaller the supply and demand efficiency coefficient, the smaller the probability that the demand is effectively met in actual production.

[0032] S303, obtaining a preset efficiency judgment threshold Hmin, and if the supply-demand efficiency coefficient is less than or equal to the efficiency judgment threshold Hmin, generating a demand response reminder and sending it to the consumer end;

[0033] S304, marking the verification node on the proposed production schedule timeline, obtaining the proposed production cycle Ty at the verification node on the proposed production schedule timeline, and calculating the schedule deviation value ΔT: ΔT=Tx-Ty;

[0034] S305, obtaining a preset deviation judgment threshold Tmin, and if the progress deviation value ΔT is less than or equal to the deviation judgment threshold Tmin, generating a normal progress reminder and sending it to the consumer end;

[0035] If the progress deviation value ΔT is greater than the deviation judgment threshold Tmin, a progress delay reminder is generated and sent to the consumer end.

[0036] The present invention also provides a supply chain management method based on blockchain, comprising the following steps:

[0037] Step 1: Obtain automobile order information to generate a proposed production plan, and generate a supply chain output list based on the proposed production plan;

[0038] Step 2: Obtain real-time demand feedback data and real-time production process data in the actual production process, integrate them into the actual production progress timeline, and define verification nodes on the actual production progress timeline;

[0039] Step 3: Obtain the actual production progress timeline, and obtain the actual production data on the verification nodes one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate real-time reminders;

[0040] Step 4: Generate a blockchain start node based on the automobile order information, and obtain the material source and material-related processing technology in each production node from the supply chain output list to generate a blockchain continuous node. Generate a terminal node at the end of the production process, and integrate the blockchain start node, blockchain continuous node and terminal node into a production process blockchain according to the actual production progress timeline;

[0041] Step 5: Receive and process the query request, obtain the corresponding node in the production process blockchain according to the query request, and visualize the data stored in the node to achieve transparent management of the supply chain.

[0042] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0043] The blockchain-based supply chain management system and method provide automobile order information through the producer side and send a query request to the distributed management platform. The producer side is used to obtain the automobile order information to generate a proposed production plan and send it to the supplier side. The supplier side generates a supply chain output list according to the proposed production plan, and then verifies the actual production data and the proposed production plan through the distributed management platform to generate a real-time reminder and send it to the consumer side. At the same time, the material source and material-related processing technology in each production node are obtained according to the supply chain output list to generate a production process blockchain. According to the query request of the consumer side, the corresponding node is obtained in the production process blockchain to realize transparent management of the supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic diagram of the system structure of the present invention is shown;

[0045] Figure 2 A schematic flow chart of the method of the present invention is shown. DETAILED DESCRIPTION

[0046] 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.

[0047] Embodiment 1:

[0048] like Figure 1 As shown, a supply chain management system based on blockchain includes a consumer side, a producer side, a supplier side and a distributed management platform. The consumer side is used to provide automobile order information to the producer side and send a query request to the distributed management platform. The producer side is used to obtain automobile order information to generate a proposed production plan and send it to the supplier side. The supplier side generates a supply chain output list according to the proposed production plan and sends the supply chain output list to the distributed management platform.

[0049] The consumer side includes a demand issuance module and an information interaction module, where:

[0050] The demand issuance module is used to obtain the consumer's car order information, which includes the orderer's identity information, car model and order time, and to establish a consumer's personal account based on the orderer's identity information, and send the car order information to the producer end;

[0051] The information interaction module is used to verify and log in to the consumer's personal account, receive real-time reminders from the distributed management platform, and send query requests to the supplier.

[0052] The producer side includes demand acquisition module, production scheduling module, and progress prediction module, among which:

[0053] The demand acquisition module is used to obtain automobile order information from the consumer side, and generate a proposed production schedule timeline based on the automobile model, order time and preset delivery cycle, and send it to the schedule prediction module;

[0054] The production scheduling module is used to obtain the real-time production progress, demand generation frequency and demand feedback frequency in the automobile production workshop, and calculate the demand feedback efficiency and send it to the progress prediction module;

[0055] The schedule forecasting module is used to obtain the proposed production schedule timeline, and generate a proposed production plan based on the generation efficiency coefficient and send it to the supplier.

[0056] The specific process of generating a proposed production plan is as follows:

[0057] S101, obtaining automobile order information, obtaining the order time, taking the order time as the starting point of the time axis, obtaining the standard production cycle from the production database according to the automobile model, and extending the standard production cycle to obtain the proposed production schedule time axis;

[0058] S102, obtaining the real-time production progress, demand generation frequency F1 and demand feedback frequency F2 in the automobile production workshop, wherein the real-time production progress includes the production line capacity efficiency Ui and the production line utilization rate Ki, the production line capacity efficiency Ui is the ratio of the total number of automobiles that can be produced by the production line per day to the working cycle, and the production line utilization rate Ki is the ratio of the actual output to the maximum capacity;

[0059] S103. Calculate the demand feedback efficiency Ri according to the following formula: Among them, e1 and e2 are preset weight coefficients, which are used to normalize the data for calculation. The demand feedback efficiency reflects the effectiveness of demand response at each production node on the production line. The greater the demand feedback efficiency, the greater the effectiveness of demand response at the production node. Conversely, the smaller the demand feedback efficiency, the smaller the effectiveness of demand response at the production node.

[0060] S104. Delineate the main processing nodes, secondary processing nodes and post-processing nodes on the proposed production schedule timeline, mark the production process parameters and the supply chain demand information and demand feedback efficiency involved in the production process parameters on the main processing nodes, secondary processing nodes and post-processing nodes in turn, and integrate them to obtain the proposed production plan.

[0061] The supplier side is used to obtain and process the proposed production plan, which includes the proposed production schedule timeline, supply chain demand information and demand feedback efficiency. The demand list data is generated based on the supply chain demand information, and the demand effective time is generated based on the proposed production schedule timeline. The demand response time is generated based on the demand feedback efficiency, and the demand list data, demand effective time and demand response time are integrated to generate a supply chain output list.

[0062] The specific process of generating a supply chain output list is as follows:

[0063] S201. Obtain supply chain demand information, and derive demand list data based on the supply chain demand information as follows: power system list data, chassis system list data, body and related accessories list data, electrical system list data, interior and related accessories list data, fuel system list data, emission system list data, and other accessories list data;

[0064] S202. Obtain the verification time point Ti corresponding to the planned production schedule at each main processing node, secondary processing node, and post-processing node, obtain the demand feedback efficiency Ri, and calculate the demand response time T0 corresponding to the verification time point according to the following formula: T0=Ti+Ri*Ts, where Ts is the standard supply cycle of the demand;

[0065] S203. With the planned generation schedule time as the horizontal axis and each main processing node, secondary processing node, and post-processing node as the derivative axis, the demand list data, demand effective time, and demand response time are integrated into blockchain storage nodes, and the blockchain storage nodes are marked one by one on the corresponding derivative axis to generate a supply chain output list.

[0066] The distributed management platform includes a data collection unit, a production monitoring unit, a blockchain integration unit, and a traceability output unit;

[0067] The data collection unit is used to obtain the real-time demand feedback data and real-time production process data from the supplier, integrate them into the actual production progress timeline, define verification nodes on the actual production progress timeline, and send the actual production progress timeline to the production monitoring unit;

[0068] The production monitoring unit is used to obtain the actual production progress timeline, and obtain the actual production data on the verification node one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate real-time reminders and send them to the consumer end;

[0069] The specific process of generating real-time reminders is as follows: including normal progress reminders, progress delay reminders and demand response reminders

[0070] S301, obtaining the actual production schedule timeline, the actual production schedule timeline includes real-time demand feedback data and real-time production process data, the real-time demand feedback data is the demand acceptance time t1 and the demand feedback time t2, the real-time production process data includes the real-time production cycle Tx, the demand application rate Pi and the new demand quantity M;

[0071] S302. Calculate the supply-demand efficiency coefficient Ht in actual production based on the real-time demand feedback data and the real-time production process data: Where d is the preset normalization coefficient, the demand application rate Pi is the ratio between the actual quantity obtained in the demand and the actual quantity used, and the supply and demand efficiency coefficient reflects the actual demand in actual production and the probability that the demand is effectively fed back and utilized. The larger the supply and demand efficiency coefficient, the greater the probability that the demand is effectively met in actual production. Conversely, the smaller the supply and demand efficiency coefficient, the smaller the probability that the demand is effectively met in actual production.

[0072] S303, obtaining a preset efficiency judgment threshold Hmin, and if the supply-demand efficiency coefficient is less than or equal to the efficiency judgment threshold Hmin, generating a demand response reminder and sending it to the consumer end;

[0073] S304, marking the verification node on the proposed production schedule timeline, obtaining the proposed production cycle Ty at the verification node on the proposed production schedule timeline, and calculating the schedule deviation value ΔT: ΔT=Tx-Ty;

[0074] S305, obtaining a preset deviation judgment threshold Tmin, and if the progress deviation value ΔT is less than or equal to the deviation judgment threshold Tmin, generating a normal progress reminder and sending it to the consumer end;

[0075] If the progress deviation value ΔT is greater than the deviation judgment threshold Tmin, a progress delay reminder is generated and sent to the consumer end.

[0076] The blockchain integration unit is used to obtain the consumer account and the supply chain output list, generate the blockchain start node according to the consumer account and the order time, and obtain the material source and material-related processing technology in each production node according to the supply chain output list to generate a blockchain continuous node, generate a terminal node at the end of the production process, and integrate the blockchain start node, blockchain continuous node and terminal node into a production process blockchain according to the actual production progress timeline;

[0077] The traceability output unit is used to receive and process query requests from the consumer side, obtain the corresponding node in the production process blockchain according to the query request, and send the data stored in the node to the consumer side to achieve transparent management of the supply chain.

[0078] The present invention provides automobile order information through the producer side and sends a query request to the distributed management platform. The producer side is used to obtain the automobile order information to generate a proposed production plan and send it to the supplier side. The supplier side generates a supply chain output list according to the proposed production plan, and then verifies the actual production data and the proposed production plan through the distributed management platform to generate a real-time reminder and send it to the consumer side. At the same time, the material source and material-related processing technology in each production node are obtained according to the supply chain output list to generate a production process blockchain. According to the query request of the consumer side, the corresponding node is obtained in the production process blockchain to realize transparent management of the supply chain.

[0079] Embodiment 2:

[0080] like Figure 2 As shown, the present invention also provides a supply chain management method based on blockchain, comprising the following steps:

[0081] Step 1: Obtain automobile order information to generate a proposed production plan, and generate a supply chain output list based on the proposed production plan;

[0082] Step 2: Obtain real-time demand feedback data and real-time production process data in the actual production process, integrate them into the actual production progress timeline, and define verification nodes on the actual production progress timeline;

[0083] Step 3: Obtain the actual production progress timeline, and obtain the actual production data on the verification nodes one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate real-time reminders;

[0084] Step 4: Generate a blockchain start node based on the automobile order information, and obtain the material source and material-related processing technology in each production node from the supply chain output list to generate a blockchain continuous node. Generate a terminal node at the end of the production process, and integrate the blockchain start node, blockchain continuous node and terminal node into a production process blockchain according to the actual production progress timeline;

[0085] Step 5: Receive and process the query request, obtain the corresponding node in the production process blockchain according to the query request, and visualize the data stored in the node to achieve transparent management of the supply chain.

[0086] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0087] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0088] In the two embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways; for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the modules can be electrical or other forms;

[0089] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A supply chain management system based on blockchain, including a consumer side, a producer side, a supplier side and a distributed management platform, characterized in that: The consumer end is used to provide automobile order information to the producer end and send a query request to the distributed management platform. The producer end is used to obtain the automobile order information to generate a proposed production plan and send it to the supplier end. The supplier end generates a supply chain output list according to the proposed production plan and sends the supply chain output list to the distributed management platform. The distributed management platform includes a data collection unit, a production monitoring unit, a blockchain integration unit and a traceability output unit; The data acquisition unit is used to obtain real-time demand feedback data and real-time production process data from the supplier, integrate them into an actual production progress timeline, define verification nodes on the actual production progress timeline, and send the actual production progress timeline to the production monitoring unit; The production monitoring unit is used to obtain the actual production progress timeline, and obtain the actual production data on the verification node one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate a real-time reminder and send it to the consumer end; The blockchain integration unit is used to obtain the consumer account and the supply chain output list, generate a blockchain start node according to the consumer account and the order time, and obtain the material source and material-related processing technology in each production node according to the supply chain output list to generate a blockchain continuous node, generate a terminal node at the end of the production process, and integrate the blockchain start node, the blockchain continuous node and the terminal node into a production process blockchain according to the actual production progress timeline; The traceability output unit is used to receive and process query requests from the consumer side, obtain the corresponding node in the production process blockchain according to the query request, and send the data stored in the node to the consumer side to achieve transparent management of the supply chain.

2. The blockchain-based supply chain management system according to claim 1, characterized in that: The consumer end includes a demand issuing module and an information interaction module, wherein: The demand issuing module is used to obtain the consumer's car order information, which includes the orderer's identity information, car model and order time, and to establish a consumer's personal account based on the orderer's identity information, and send the car order information to the producer end; The information interaction module is used to verify and log in to the consumer's personal account, receive real-time reminders from the distributed management platform, and send query requests to the supplier.

3. The blockchain-based supply chain management system according to claim 1, characterized in that: The producer side includes a demand acquisition module, a production scheduling module, and a progress prediction module, wherein: The demand acquisition module is used to obtain automobile order information from the consumer side, and generate a proposed production schedule timeline based on the automobile model, order time and preset delivery cycle, and send it to the schedule prediction module; The production scheduling module is used to obtain the real-time production progress, demand generation frequency and demand feedback frequency in the automobile production workshop, and calculate the demand feedback efficiency and send it to the progress prediction module; The schedule forecasting module is used to obtain the proposed production schedule timeline, and generate a proposed production plan based on the generation efficiency coefficient and send it to the supplier.

4. The blockchain-based supply chain management system according to claim 1, characterized in that: The specific process of generating a proposed production plan is as follows: S101, obtaining automobile order information, obtaining the order time, taking the order time as the starting point of the time axis, obtaining the standard production cycle from the production database according to the automobile model, and extending the standard production cycle to obtain the proposed production schedule time axis; S102, obtaining the real-time production progress, demand generation frequency F1 and demand feedback frequency F2 in the automobile production workshop, wherein the real-time production progress includes the production line capacity efficiency Ui and the production line utilization rate Ki, wherein the production line capacity efficiency Ui is the ratio of the total number of automobiles that can be produced by the production line per day to the working cycle, and the production line utilization rate Ki is the ratio of the actual output to the maximum capacity; S103. Calculate the demand feedback efficiency Ri according to the following formula: Where e1 and e2 are preset weight coefficients; S104. Delineate the main processing nodes, secondary processing nodes and post-processing nodes on the proposed production schedule timeline, mark the production process parameters and the supply chain demand information and demand feedback efficiency involved in the production process parameters on the main processing nodes, secondary processing nodes and post-processing nodes in turn, and integrate them to obtain the proposed production plan.

5. The blockchain-based supply chain management system according to claim 1, characterized in that: The supplier side is used to obtain and process the proposed production plan, which includes the proposed production schedule timeline, supply chain demand information and demand feedback efficiency, generates demand list data based on the supply chain demand information, generates demand effective time based on the proposed production schedule timeline, generates demand response time based on the demand feedback efficiency, and integrates the demand list data, demand effective time and demand response time to generate a supply chain output list.

6. The blockchain-based supply chain management system according to claim 4, characterized in that: The specific process of generating a supply chain output list is as follows: S201, obtaining supply chain demand information, and deriving demand list data based on the supply chain demand information; S202. Obtain the verification time point Ti corresponding to the planned production schedule at each main processing node, secondary processing node, and post-processing node, obtain the demand feedback efficiency Ri, and calculate the demand response time T0 corresponding to the verification time point according to the following formula: T0=Ti+Ri*Ts, where Ts is the standard supply cycle of the demand; S203. With the planned generation schedule time as the horizontal axis and each main processing node, secondary processing node, and post-processing node as the derivative axis, the demand list data, demand effective time, and demand response time are integrated into blockchain storage nodes, and the blockchain storage nodes are marked one by one on the corresponding derivative axis to generate a supply chain output list.

7. The blockchain-based supply chain management system according to claim 1, characterized in that: The specific process of generating real-time reminders is as follows: including normal progress reminders, progress delay reminders and demand response reminders S301, obtaining an actual production schedule timeline, wherein the actual production schedule timeline includes real-time demand feedback data and real-time production process data, wherein the real-time demand feedback data is the demand acceptance time t1 and the demand feedback time t2, and the real-time production process data includes the real-time production cycle Tx, the demand application rate Pi and the new demand quantity M; S302. Calculate the supply-demand efficiency coefficient Ht in actual production based on the real-time demand feedback data and the real-time production process data: Where d is the preset normalization coefficient, and the demand application rate Pi is the ratio between the actual obtained quantity and the actual used quantity in the demand; S303, obtaining a preset efficiency judgment threshold Hmin, and if the supply-demand efficiency coefficient is less than or equal to the efficiency judgment threshold Hmin, generating a demand response reminder and sending it to the consumer end; S304, marking the verification node on the proposed production schedule timeline, obtaining the proposed production cycle Ty at the verification node on the proposed production schedule timeline, and calculating the schedule deviation value ΔT: ΔT=Tx-Ty; S305, obtaining a preset deviation judgment threshold Tmin, and if the progress deviation value ΔT is less than or equal to the deviation judgment threshold Tmin, generating a normal progress reminder and sending it to the consumer end; If the progress deviation value ΔT is greater than the deviation judgment threshold Tmin, a progress delay reminder is generated and sent to the consumer end.

8. A supply chain management method based on blockchain, characterized in that: The following steps are involved: Step 1: Obtain automobile order information to generate a proposed production plan, and generate a supply chain output list based on the proposed production plan; Step 2: Obtain real-time demand feedback data and real-time production process data in the actual production process, integrate them into the actual production progress timeline, and define verification nodes on the actual production progress timeline; Step 3: Obtain the actual production progress timeline, and obtain the actual production data on the verification nodes one by one according to the actual production progress, and verify the actual production data with the proposed production plan to generate real-time reminders; Step 4: Generate a blockchain start node based on the automobile order information, and obtain the material source and material-related processing technology in each production node from the supply chain output list to generate a blockchain continuous node. Generate a terminal node at the end of the production process, and integrate the blockchain start node, blockchain continuous node and terminal node into a production process blockchain according to the actual production progress timeline; Step 5: Receive and process the query request, obtain the corresponding node in the production process blockchain according to the query request, and visualize the data stored in the node to achieve transparent management of the supply chain.

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