The Application of Mathematics in Logistics Distribution Optimization

Jiayi Fu

doi:10.54254/2753-8818/2025.CH22297

Research Article

Open access

Published on 24 April 2025

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Fu,J. (2025). The Application of Mathematics in Logistics Distribution Optimization. Theoretical and Natural Science,101,88-97.

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The Application of Mathematics in Logistics Distribution Optimization

Jiayi Fu *^,1,

¹ Department of Mathematics, Jiangsu University, Zhenjiang, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2025.CH22297

Abstract

The optimization of logistics delivery routes plays a crucial role in reducing transportation costs and improving delivery efficiency. This paper focuses on the problem of logistics delivery route optimization, taking 20 Hema Fresh stores in Pudong New Area, Shanghai as the research object. By analyzing factors such as vehicle load limits and variable costs generated during the delivery process, a suitable mathematical model is constructed. Subsequently, the greedy algorithm and the genetic algorithm are applied to solve the model respectively, aiming to find the optimal delivery routes. The performance differences of different algorithms in practical applications are compared in detail. The research results show that different algorithms have different effects on the optimization of logistics delivery routes and need to be selected according to the actual situation. This paper provides a feasible solution and useful reference for the logistics delivery route planning of Hema Fresh and other fresh - food e - commerce enterprises.

Keywords

route optimization, the greedy algorithm, the genetic algorithm

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References

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Cite this article

Fu,J. (2025). The Application of Mathematics in Logistics Distribution Optimization. Theoretical and Natural Science,101,88-97.

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About volume

Volume title: Proceedings of CONF-MPCS 2025 Symposium: Mastering Optimization: Strategies for Maximum Efficiency

Conference website: https://www.confmpcs.org/workshop_chicago.html

ISBN：978-1-80590-017-7(Print) / 978-1-80590-018-4(Online)

Conference date: 21 March 2025

Editor：Anil Fernando, Marwan Omar

Series: Theoretical and Natural Science

Volume number: Vol.101

ISSN：2753-8818(Print) / 2753-8826(Online)

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