Title: Optimisation of logistics management mode of blockchain logistics supply chain based on heuristic algorithm

Authors: Chunxiang Guo; Pengfei Jiao

Addresses: School of Economics and Management, Shaanxi Fashion Engineering University, Xi'an, 712046, Shaanxi, China ' School of Economics and Management, Shaanxi Fashion Engineering University, Xi'an, 712046, Shaanxi, China

Abstract: Intelligent equipment such as automatic sorting systems and self-driving vehicles play a key role in modern logistics systems and can significantly improve the efficiency of logistics operations. From the perspective of W, the logistics enterprise in S city, based on the results of four experiments, it can be seen that if the enterprise wants to optimise its logistics management mode, then the ant colony optimisation (ACO) can be prioritised in the heuristic algorithm type. Then take the satisfaction rate to judge the effect before and after the use of the algorithm as the standard. A 48% increase in the satisfaction rate before and after use was recorded. With the continuous research of heuristic algorithms, the research of supply chain logistics management mode of blockchain logistics enterprises is also facing new opportunities and challenges.

Keywords: logistics management mode; logistics supply chain; blockchain technology; heuristic algorithm.

DOI: 10.1504/IJIIDS.2025.147432

International Journal of Intelligent Information and Database Systems, 2025 Vol.17 No.3/4, pp.535 - 552

Received: 05 Aug 2024
Accepted: 25 Nov 2024
Published online: 15 Jul 2025 *

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