| In recent years,with the successive proposals of the strategic goals of "German Industry4.0","American Industrial Internet" and "Made in China 2025",the automotive supply chain system is transforming from technology-driven to information-driven.Because the traditional automobile supply chain adopts the supervision mechanism of central data,the data is easily tampered with when the OEM traces the source,and the data of the modern automobile supply chain system is becoming more and more complicated,and innovation in information sharing and data security is urgently needed.Starting from the practical significance of blockchain empowering the automotive supply chain,this paper studies how to optimize the performance of the blockchain.The main research contents are as follows:(1)Aiming at the problem that traditional blockchain technology cannot meet the needs of high-efficiency data circulation in the automotive supply chain system,a blockchain multiobjective optimization method based on automotive supply chain(MOMAC for short)is proposed,improves the system throughput,reduces the system communication overhead,and reduces the transformation cost by deploying blockchain nodes for the automotive supply chain.First,in order to avoid eliminating some elite individuals,in the process of genetic algorithm iteration,a fast non-dominated sorting algorithm with self-selected elite retention strategy is designed(OE-NSGA-II for short),and the optimal solution in the pseudodominated points is added to the optimal solution;second,the elite retention strategy with controllable threshold is adopted to make the algorithm more convergent;finally,according to the OE-NSGA-II algorithm process,the crowdedness comparison and the elite screening of the population are carried out to obtain a blockchain system that determines the number of nodes.(2)Aiming at the problem that the blockchain system with a single chain to determine the number of nodes cannot handle the complex and diverse data in the automotive supply chain,a blockchain main and side chain expansion model(MSCEM for short)is proposed to optimize the blockchain.The storage performance and transaction performance of the blockchain enhance the adaptability of the blockchain system in the automotive supply chain system.First,a three-chain storage blockchain system with separated upstream,middle and downstream is designed to store the complex and diverse data in the supply chain system in separate chains to improve the storage performance of the system;secondly,according to the side chains with different characteristics,the corresponding intelligent Contract,and use the hash locking algorithm to ensure the consistency of data in cross-chain transactions and improve the transaction performance of the system;finally,a visual interactive page is designed to improve the convenience of data operations for users and reduce the learning cost of enterprise transformation.It is verified by experiments that the blockchain system iteratively obtained by the MOMAC method has higher throughput and lower deployment overhead;after the MSCEM model optimizes the blockchain system,the storage performance and transmission data stability are significantly improved,and the transaction delay is reduced.Concurrent systems scale well.The research results provide theoretical models and application transformation support for the transformation of the automotive supply chain system enabled by blockchain technology. |
