Research on joint vehicle routing optimization considering multiple distribution centers

In order to address the problem of efficiently distributing to multiple demand points within the city and multiple distribution centers on the urban fringes, this paper considers decision-making issues such as the selection of distribution centers and the planning of delivery routes. With the objective of minimizing the total transportation time, an integer programming model for the urban vehicle delivery network is constructed. Moreover, a class of column generation algorithms is designed for the characteristics of the problem. CPLEX is used to compare and analyze the solutions of several examples. The results verify the feasibility of the proposed column generation algorithm, and the practicality of the planning model is demonstrated through the analysis of examples generated from actual data.

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Publication Details

Journal
PLoS ONE
Published
2026-01-23
DOI
https://doi.org/10.1371/journal.pone.0331578
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on joint vehicle routing optimization considering multiple distribution centers

Yan Lei, Botang Li, Mengchi Li, Pei Yu et al.
PLoS ONE
Vehicle Routing Optimization Methods
article

Research on joint vehicle routing optimization considering multiple distribution centers

Yan Lei, Botang Li, Mengchi Li, Pei Yu, Di Liu, Songyuan Tang
article en

Abstract

In order to address the problem of efficiently distributing to multiple demand points within the city and multiple distribution centers on the urban fringes, this paper considers decision-making issues such as the selection of distribution centers and the planning of delivery routes. With the objective of minimizing the total transportation time, an integer programming model for the urban vehicle delivery network is constructed. Moreover, a class of column generation algorithms is designed for the characteristics of the problem. CPLEX is used to compare and analyze the solutions of several examples. The results verify the feasibility of the proposed column generation algorithm, and the practicality of the planning model is demonstrated through the analysis of examples generated from actual data.

PLoS ONEVol. 21(1)
Guangzhou Maritime College (CN)
Sustainable cities and communities
Openalex Percentile: Top 81%
Vehicle Routing Optimization Methods
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