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Optimization of urban unmanned logistics distribution path with multiple distribution centers

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posted on 2022-11-28, 14:47 authored by Xiyu Tong, Jueliang Hu, Shuguang Han, Diwei ZhouDiwei Zhou

In addition to the great prospects for development, unmanned distribution has attracted a great deal of social attention as a new type of logistics distribution mode. The use of electric unmanned vehicles for urban logistics distribution can not only reduce enterprise costs but also achieve non-contact distribution and rapid logistics response for unmanned logistics distribution in multiple distribution centers. A multi-distribution center urban unmanned logistics distribution path optimization model is developed for minimizing total cost and minimizing delivery time, taking into account constraints such as battery capacity of electric unmanned vehicles, customer time windows, simultaneous pickup and delivery, and vehicle balance between distribution centers. In this study, an improved genetic algorithm was designed with a reasonable route optimization strategy, and its effectiveness was verified through a variety of calculation examples. Our model was compared with other variant models and parameters. As a result of the analysis, it can be seen that the established model and algorithm can not only improve the vehicle path and save the distribution costs, but also provide rapid delivery during an emergency. This research can promote the development of urban unmanned logistics distribution mode and provide theoretical reference. 

Funding

NSFC [grant number 12071436]

History

School

  • Science

Department

  • Mathematical Sciences

Published in

SSRN

Publisher

Elsevier SSRN

Version

  • AO (Author's Original)

Rights holder

The authors

Acceptance date

2022-09-06

Publication date

2022-09-26

Copyright date

2022

Notes

This is a pre-print. This article has not been peer-reviewed.

Language

  • en

Depositor

Dr Diwei Zhou (Deposit date: 25 November 2022)

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