Auto-carrier Transport Routing Problem with Loading Constraint

Xiqing Yang (), Wenliang Bian (), Hanping Hou () and Xiying Yang ()
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Xiqing Yang: Beijing Jiaotong University
Wenliang Bian: Beijing Jiaotong University
Hanping Hou: Beijing Jiaotong University
Xiying Yang: Beijing Jiaotong University

A chapter in LISS 2020, 2021, pp 91-105 from Springer

Abstract: Abstract Vehicle logistics refers to the whole process of rapid delivery of vehicles distributed by logistics company according to customer orders. Auto-carriers are used as the transportation tool, which efficiency and loading rate directly determine the logistics cost. Compared with traditional vehicle routing problems, route planning of auto-carriers also needs to consider how to load the vehicles, which has higher requirements for the model formulation. In this paper we provide a three-dimensional loading constraint and build a multi-objective mixed integer programming model based on the minimum total cost, the minimum number of auto-carriers and the shortest total driving distance. We use Gurobi as a solver to pre-process multiple constraints and solve the model. The experimental results show that the model can find the optimal solution efficiently and the algorithm can give an accurate solution in a limited time, which indicates that the method designed in this paper is feasible and even optimal for certain problem scales.

Keywords: Auto-carrier transportation; Routing problem; Loading constraint; Mixed integer programming (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-4359-7_7

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DOI: 10.1007/978-981-33-4359-7_7

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