Multi Phase Methodology for Solving the Multi Depot Vehicle Routing Problem with Limited Supply Capacity at the Depots

被引:0
作者
de Prado, Javier [1 ]
Moscatelli, Sandro [1 ]
Pineyro, Pedro [1 ]
Tansini, Libertad [1 ]
Viera, Omar [1 ]
机构
[1] Univ Republica, Fac Engn, Comp Sci Inst InCo, Dept Operat Res, Montevideo, Uruguay
来源
METAHEURISTICS AND NATURE INSPIRED COMPUTING, META 2021 | 2022年 / 1541卷
关键词
Multi depot vehicle routing problem; Heuristics; Supply capacity; Clustering; Assignment; ALGORITHM;
D O I
10.1007/978-3-030-94216-8_15
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper focuses on a capacitated multi depot vehicle routing problem, where each depot has a finite supply capacity to meet the customers demand. To solve this problem we propose a multi phase methodology, that extends the "cluster first, route second" approach. It is based on iterative routings to find and reassign misplaced customers with respect to the depots and with the objective of improving the final routing. Several assignment and routing algorithms are considered to evaluate the proposed methodology under different settings. A mathematical model of the problem is given to perform a comparative study of the methodology against an exact solution method. The results obtained from the numerical experiments carried out allow us to conclude that the methodology can be successfully applied to the capacitated multi depot vehicle routing problem.
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页码:198 / 211
页数:14
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