Research on Logistics Distribution Routes Optimization Based on the Saving Algorithm

DOI

10.2991/978-94-6463-845-5_9How to use a DOI?

Keywords

Saving Algorithm; Route Optimization; Vehicle Routing Planning; Express Companies; Logistics Distribution

Abstract

In order to improve the distribution efficiency and reduce the distribution cost of J Express Company, this paper optimizes its distribution route based on the Saving Algorithm. The current reliance on manual experience to plan the route of J Company leads to a low vehicle loading rate and insufficient mileage utilization, resulting in a significant waste of transportation resources. By calculating the route saving values of 13 outlets and merging the high-efficiency nodes, the distribution scheme is reconstructed under the constraints of vehicle loading and one-way mileage. The results show that the optimized vehicle configuration is streamlined from 4 to 2, the total mileage is reduced by 4. 5km, and the average loading rate is increased by 27. 87%, which significantly improves the loading rate and mileage utilization rate, and provides a scientific basis for the enterprise to reduce costs and increase efficiency.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tongji Yang
AU  - Yajing Chang
PY  - 2025
DA  - 2025/09/16
TI  - Research on Logistics Distribution Routes Optimization Based on the Saving Algorithm
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 77
EP  - 83
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_9
DO  - 10.2991/978-94-6463-845-5_9
ID  - Yang2025
ER  -