Article: Blockchain technology application and optimisation algorithm in enterprise supply chain management Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.12 pp.104 - 120 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. Inderscience Publishers - linking academia, business and industry through research

Title: Blockchain technology application and optimisation algorithm in enterprise supply chain management

Authors: Zhihao Cao

Addresses: School of Accounting, ChongQing College of Finance and Economics, Chongqing 402160, China

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.

Keywords: supply chain management; SCM; blockchain; raft algorithm; genetic algorithm; GA; TOPSIS method.

DOI: 10.1504/IJICT.2025.146162

International Journal of Information and Communication Technology, 2025 Vol.26 No.12, pp.104 - 120

Received: 12 Mar 2025
Accepted: 21 Mar 2025
Published online: 08 May 2025 *

Title: Blockchain technology application and optimisation algorithm in enterprise supply chain management

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