Title: Cold chain logistics monitoring and logistics vehicle scheduling optimisation

Authors: Sheng Zeng; Bing Wang; Xian-jun Dai

Addresses: School of Electrical Engineering, Wanjiang Institute of Technology, Maanshan 243000, China; Silla University, Busan 612022, South Korea ' School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243000, China ' College of Life Sciences, China Jiliang University, Hangzhou 310000, China

Abstract: With the development of China's economy, the per capita disposable income of residents has been constantly increasing, and the cold chain logistics industry has ushered in a brand-new development period. However, problems related to the transportation and monitoring of cold chain logistics have also emerged frequently. On the basis of the current situation, the purpose of this thesis is to offer an intelligent monitoring platform for cold chain logistics to monitor its vehicle driving path and vehicle scheduling. Secondly, due to the different routes of vehicles in the process of driving, the ant colony algorithm is taken to optimise the routes and improve the ant colony algorithm in such cases and it shows that the updated ant colony algorithm is superior to the path of the conventional ant colony algorithm. The findings of the experiment indicate that the optimisation rate can be increased by about 4% through the four route optimisation methods. The improved algorithm significantly shortens the path, reducing the cost of cold chain logistics transportation and promotes the advancement mode of traditional cold chain logistics transportation companies. It provides a basis for the subsequent logistics optimisation, and continuously improves the efficiency and quality of cold chain logistics. The contribution of intelligent monitoring and route optimisation of cold chain logistics is to improve transportation efficiency, reduce costs, ensure product quality and safety, and provide important support for the development and progress of modern logistics industry.

Keywords: cold chain logistics; monitoring platform; ant colony algorithm; path; cost.

DOI: 10.1504/IJADS.2025.148261

International Journal of Applied Decision Sciences, 2025 Vol.18 No.5, pp.626 - 644

Received: 21 May 2024
Accepted: 25 Jun 2024
Published online: 01 Sep 2025 *

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