Blockchain technology application and optimisation algorithm in enterprise supply chain management

Abstract

Aiming at the issues of collaborative efficiency and trust crisis faced by supply chain management (SCM), this paper firstly design a blockchain-based SCM architecture, improve the blockchain smart contract, unite the election conditions of the Raft leader, set the election index rules, introduce preparatory candidates, and implement the division of subjects to authorise the legitimate subjects to be uploaded to the blockchain. Parameters such as chain owner costs and service credits are then materialised into a multi-business synergy model. Second, from the point of view of improving the efficiency of the genetic algorithm in generating the offspring buffer, the cross-variation part is parallelised, which greatly reduces the model solving time. Finally, the TOPSIS method is used to calculate the Euclidean distance and decide the ideal solution. Simulation results imply that the offered algorithm saves 16.37% of computation time and provides a new perspective for SCM.