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CN-121998204-A - Intelligent contract driven supply chain economic optimization method

CN121998204ACN 121998204 ACN121998204 ACN 121998204ACN-121998204-A

Abstract

The invention discloses an intelligent contract-driven supply chain economic optimization method, which belongs to the technical field of supply chain management and blockchain, and is implemented by profit distribution intelligent contracts deployed on a blockchain, and the method comprises the steps of obtaining real-time sales data of products and contribution evaluation data of all participants from a chain trusted data source, calculating cycle total profit, calling a preset contribution evaluation model to process the contribution data, generating dynamic contribution coefficients of all the participants and determining profit distribution weights according to the dynamic contribution coefficients, and finally automatically generating and executing profit distribution instructions to complete fund transfer. According to the method, the problems that profit distribution in a traditional supply chain is stiff and the value contribution of each link cannot be accurately reflected are solved by establishing an automatic distribution mechanism of contribution and profit dynamic hooks, excitation compatibility is realized, the overall economic benefit of the supply chain can be effectively optimized, and collaborative innovation is promoted.

Inventors

  • LI GUANG
  • LI XINLIN
  • JI JUNWEI

Assignees

  • 成都理工大学

Dates

Publication Date
20260508
Application Date
20260408

Claims (10)

  1. 1. A smart contract driven supply chain economic optimization method performed by a profit-distribution smart contract deployed on a blockchain, comprising the steps of: S1, market expression data of a target product in a settlement period is obtained, wherein the market expression data comprises real-time sales data and contribution evaluation data of all participants of a supply chain approved by consensus, an asynchronous parallel data processing mechanism is adopted, and batch collection, compression and signature verification are carried out on the sales data and the contribution evaluation data through a data preprocessing node under the chain; s2, calculating to obtain the total profit of the product in the settlement period according to the processed market expression data; S3, processing the processed contribution evaluation data through a preset contribution evaluation model to obtain dynamic contribution coefficients corresponding to all the participants and determining profit distribution weights according to the dynamic contribution coefficients, wherein the contribution evaluation model adopts a DPRep-Prove framework, deconstructs the processed contribution evaluation data into three types of verifiable input data, processes the input data through a contribution value sensor and a dynamic weight programmer, and outputs the dynamic contribution coefficients and the programmable profit distribution weights; S4, combining the total profit of the product, the dynamic contribution coefficient and each profit allocation weight, generating and automatically executing profit allocation instructions, and completing fund transfer.
  2. 2. The intelligent contract-driven supply chain economic optimization method according to claim 1, wherein the calculation process of the total profit of the product comprises: S201, acquiring real-time sales data subjected to verification and signature of a decentralization prophetic machine from a distributed storage system, calling a preset aggregation function by an intelligent contract, and calculating to obtain total sales income of products in a settlement period; S202, when each party of a supply chain completes each link, synchronously proving the cryptology promise of key cost elements in a blockchain, after the settlement period is triggered, submitting detailed cost detail data by the calculation nodes under the chain appointed by each party, and performing accounting according to a preset cost aggregation rule by the calculation nodes under the chain to generate a verifiable calculation proof file; S203, when the calculation document passes the verification, the smart contract performs a final operation of total profit=total sales income of the product-total verifiable cost, and records the result as a tamper-proof on-chain state.
  3. 3. The smart contract-driven supply chain economic optimization method of claim 1, wherein the process of obtaining the market performance data comprises: and acquiring contribution evaluation data which quantifies the contribution of the participants to the market competitiveness of the product from an evaluation system corresponding to each participant, wherein the contribution evaluation data is required to be verified by an effective digital signature.
  4. 4. The intelligent contract-driven supply chain economic optimization method according to claim 1, wherein three types of verifiable input data include contribution statement, context state, real-time market signal; The contribution value perceptron quantifies the input contribution statement into a multi-dimensional value score under the contextual state and real-time market signal; The dynamic weight programmer consists of a programmable rule engine and a lightweight machine learning algorithm, wherein the rule engine can temporarily inject or adjust evaluation rules according to different product lines and strategic targets, and the lightweight machine learning algorithm can track the behavior change and the overall supply performance of each participant in the next period after each profit allocation and adjust the basic weight of each dimension.
  5. 5. The smart contract-driven supply chain economic optimization method of claim 1, wherein determining the profit sharing weight comprises: And the intelligent contract reads dynamic contribution coefficients of the current settlement period and the historical settlement period, calculates the comprehensive contribution value of each participant by applying an algorithm based on a time attenuation factor, and obtains final weight through normalization processing.
  6. 6. The smart contract driven supply chain economic optimization method of claim 1, further comprising a verification and objection processing step of broadcasting an allocation pre-execution result by the smart contract, receiving and processing an encrypted signed objection within a preset objection period, triggering an on-chain dispute resolution mechanism to correct or confirm the allocation result, before executing the profit allocation instruction.
  7. 7. The intelligent contract-driven supply chain economic optimization method according to claim 1, wherein the intelligent contract judges whether market performance data is abnormal or not through a preset abnormality detection model, and if so, freezes an automatic allocation flow and starts an emergency mechanism, wherein the emergency mechanism comprises triggering on-chain voting to decide to adopt a temporary allocation scheme or change to manual processing.
  8. 8. The method for intelligent contract-driven supply chain economic optimization according to claim 1, wherein the intelligent contract stores distribution result data of each period on a chain, generates optimization suggestions for the contribution evaluation model based on multi-period data association analysis, and automatically updates model parameters after approval of an on-chain governance flow.
  9. 9. The smart contract driven supply chain economic optimization method according to claim 1, wherein the smart contracts include a top-level distribution master contract and a plurality of distribution sub-contracts for sub-supply chains; The top-level distribution master contract executes steps S1 to S4, and regards the whole sub supply chain as a participant, calculates the whole dynamic profit distribution weight and the total profit; The top-level distribution master contract triggers the distribution of sub-contracts of the corresponding sub-supply chains and transmits the total profit due for the sub-supply chains as input to the sub-contracts; And the sub contract distribution is carried out independently and in parallel in the steps S1 to S4, market expression data in the sub supply chain are obtained, contribution coefficients and distribution weights of all the participants in the sub supply chain are calculated, and secondary profit distribution is completed.
  10. 10. The smart contract-driven supply chain economic optimization method of claim 1, further comprising the step of initializing an on-chain profit allocation fund pool prior to S1, wherein the smart contract receives the creation request, locks funds according to predefined initial rules and forms the on-chain fund pool; The intelligent contract supports a state channel mechanism for handling high frequency, small real-time profit distribution, and participants conduct multiple distribution negotiations and confirmations under the chain through the state channel, and the final state is submitted to the chain only at the end of the settlement period.

Description

Intelligent contract driven supply chain economic optimization method Technical Field The invention relates to a supply chain economic optimization method, in particular to an intelligent contract-driven supply chain economic optimization method. Background In modern industry practice, supply chain profit margins typically rely on fixed price or cost-addition agreements signed in advance. The static mode has inherent defects that the actual contribution of links such as raw material technical innovation, production process improvement, accurate marketing investment and the like to the final market competitiveness (such as brand premium and sales volume increase) of the product cannot be scientifically reflected, the value distribution and the value creation are disjointed, and the enthusiasm of participants in each link for long-term cooperation and collaborative innovation is inhibited. Although blockchain technology and smart contracts provide a new technological paradigm for implementing transparent, trusted, automated distribution logic, they still face significant technical bottlenecks when applied practically to complex supply chain scenarios. On the one hand, existing blockchain-based schemes tend to attempt to store and process massive supply chain transaction data (e.g., sales records, detailed logistics trajectories) entirely up-chain, which is directly limited by the inherent characteristics of long validation time and limited throughput of mainstream blockchain network transactions, which present serious performance and cost challenges in processing high-frequency, large-scale business data. On the other hand, even if part of the data is processed, how to perform verifiable quantification and audit on the multi-party contribution without exposing commercial secrets (such as specific cost composition of each link), and enable the multi-party contribution to dynamically respond to real-time market signals, the technical solution of systematicness is still lacking. These technical obstacles make it difficult for many blockchain supply chain applications to stay at the conceptual or local certification level, supporting an automated profit sharing system that covers the full chain, responds in real time, and protects business privacy. Disclosure of Invention The invention overcomes the defects of the prior art and provides an intelligent contract-driven supply chain economic optimization method. In order to achieve the above purpose, the technical scheme adopted by the invention is that the intelligent contract-driven supply chain economic optimization method is executed by profit-distributing intelligent contracts deployed on a blockchain, and comprises the following steps: S1, market expression data of a target product in a settlement period is obtained, wherein the market expression data comprises real-time sales data and contribution evaluation data of all participants of a supply chain approved by consensus, an asynchronous parallel data processing mechanism is adopted, and batch collection, compression and signature verification are carried out on the sales data and the contribution evaluation data through a data preprocessing node under the chain; s2, calculating to obtain the total profit of the product in the settlement period according to the processed market expression data; S3, processing the processed contribution evaluation data through a preset contribution evaluation model to obtain dynamic contribution coefficients corresponding to all the participants and determining profit distribution weights according to the dynamic contribution coefficients, wherein the contribution evaluation model adopts a DPRep-Prove framework, deconstructs the processed contribution evaluation data into three types of verifiable input data, processes the input data through a contribution value sensor and a dynamic weight programmer, and outputs the dynamic contribution coefficients and the programmable profit distribution weights; S4, combining the total profit of the product, the dynamic contribution coefficient and each profit allocation weight, generating and automatically executing profit allocation instructions, and completing fund transfer. In a preferred embodiment of the present invention, the calculation process of the total profit of the product includes: S201, acquiring real-time sales data subjected to verification and signature of a decentralization prophetic machine from a distributed storage system, calling a preset aggregation function by an intelligent contract, and calculating to obtain total sales income of products in a settlement period; S202, when each party of a supply chain completes each link, synchronously proving the cryptology promise of key cost elements in a blockchain, after the settlement period is triggered, submitting detailed cost detail data by the calculation nodes under the chain appointed by each party, and performing accounting according to a preset cost aggregation r