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2023 | OriginalPaper | Chapter

Optimization Strategy of Logistics Distribution Efficiency Based on Hybrid Ant Colony Algorithm

Authors : Jingchao Hou, Yali Bai

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

The progress of science and technology has driven the prosperity of online shopping, making the logistics industry a part of my country’s economic composition. However, while the technology is developed and the transportation is convenient, there are also some problems in logistics distribution, such as poor service quality and low distribution efficiency, which cause users to be dissatisfied with logistics. To solve this problem, this paper introduces the hybrid ant colony algorithm to analyze the strategies to improve the efficiency of logistics distribution. By comparing the optimal path length and search time of the distribution path before and after optimization of the algorithm, it is found that the hybrid ant colony algorithm can help the distribution personnel to plan the optimal distribution plan and path. The three indicators of informatization level, human resources investment, and logistics management concept have the greatest impact on distribution efficiency. Therefore, this paper proposes strategies to optimize distribution efficiency from these three perspectives.

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Metadata
Title
Optimization Strategy of Logistics Distribution Efficiency Based on Hybrid Ant Colony Algorithm
Authors
Jingchao Hou
Yali Bai
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-1428-9_54