The Optimization of Cold Chain Logistics Delivery Routes for Company B Based on Service Priority

Xialian Fu; Haoshan Hong; Juan Chen

doi:10.62762/TSSC.2024.805209

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Volume 1, Issue 1, IECE Transactions on Social Statistics and Computing

Volume 1, Issue 1, 2024

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Guojie Xie

Guangzhou University,China

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IECE Transactions on Social Statistics and Computing, 2024, Volume 1, Issue 1: 26-31

Free Access | Research Article | 12 January 2024

The Optimization of Cold Chain Logistics Delivery Routes for Company B Based on Service Priority

Xialian Fu 1

Haoshan Hong 2

Juan Chen 1 *

1 Software Engineering Institute of Guangzhou, Guangzhou 510990, China

2 Guangdong JingBangDa Supply Chain Technology Co., Ltd, Guangzhou 510700, China

* Corresponding author: Juan Chen, email: [email protected]

DOI: 10.62762/TSSC.2024.805209

Received: 27 December 2023, Accepted: 10 January 2024, Published: 12 January 2024

Abstract

In recent years, China's cold chain logistics market has developed rapidly under the strong drive of the growth of food and pharmaceutical cold chains demand, as well as the strong support of government policies. Cold chain distributiIon plays a crucial role in optimal cold chain logistics. The study focuses on company B as the research subject and aims to reduce distribution costs. Considering factors of customer timeliness requirements and vehicle types, combined with the issue of service priority, a S-TS algorithm is adopted to establish a cold chain distribution path optimal model that is in line with the actual situation of company B. Then, the optimal solution of total distribution costs is obtained through Matlab software simulation, and the optimal plan of company B's is generated, which provides a new idea and method to reduce costs and increase efficiency.

Graphical Abstract

Keywords

Service priority

Cold chain logistics

Distribution path

References

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APA Style

Fu, X., Hong, H., & Chen, J. (2024). The Optimization of Cold Chain Logistics Delivery Routes for Company B Based onService Priority. IECE Transactions on Social Statistics andComputing, 1(1), 26–31. https://doi.org/10.62762/TSSC.2024.805209

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