Research and Practice of Algorithm Platform in Logistics Distribution Network Optimization

Logistics industry as the main distribution mode of online shopping, then the efficiency of logistics distribution will become a very important content for consumers, and will also become the optimization direction of logistics distribution network. Combined with many previous studies, this paper believes that the design of distribution route will become the main way to improve distribution efficiency, and studies the algorithm platform and its potential, and proposes to use an improved ant colony algorithm to design a more efficient distribution route, so as to realize the optimization of logistics distribution network. In addition, this paper also verified the method through a comparative experiment. The two sides of the comparison experiment were the distribution route based on the method in this paper as the experimental group and the conventional distribution route as the control group. In the comparison of delivery time, the average delivery time of the experimental group was 9.69h, and the average delivery time of the control group was 14.01h. The average delivery time of the experimental group based on the proposed method is nearly 5h less than that of the control group, which fully indicates that the proposed method can improve the efficiency of logistics distribution and achieve optimization.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icdacai65086.2024.00051
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Research and Practice of Algorithm Platform in Logistics Distribution Network Optimization

He Yu
E-commerce and Technology Innovations
article

Research and Practice of Algorithm Platform in Logistics Distribution Network Optimization

He Yu
article en

Abstract

Logistics industry as the main distribution mode of online shopping, then the efficiency of logistics distribution will become a very important content for consumers, and will also become the optimization direction of logistics distribution network. Combined with many previous studies, this paper believes that the design of distribution route will become the main way to improve distribution efficiency, and studies the algorithm platform and its potential, and proposes to use an improved ant colony algorithm to design a more efficient distribution route, so as to realize the optimization of logistics distribution network. In addition, this paper also verified the method through a comparative experiment. The two sides of the comparison experiment were the distribution route based on the method in this paper as the experimental group and the conventional distribution route as the control group. In the comparison of delivery time, the average delivery time of the experimental group was 9.69h, and the average delivery time of the control group was 14.01h. The average delivery time of the experimental group based on the proposed method is nearly 5h less than that of the control group, which fully indicates that the proposed method can improve the efficiency of logistics distribution and achieve optimization.

Changchun Institute of Technology (CN)
Openalex Percentile: Top 52%
E-commerce and Technology Innovations
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