Article (Scientific journals)
The fleet size and mix dial-a-ride problem with reconfigurable vehicle capacity
Tellez Sanchez, Oscar Augusto; Vercraene, Samuel; Lehuédé, Fabien et al.
2018In Transportation Research. Part C, Emerging Technologies, 91, p. 99 - 123
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Abstract :
[en] This paper introduces a fleet size and mix dial-a-ride problem with multiple passenger types and a heterogeneous fleet of reconfigurable vehicles.In this new variant of the dial-a-ride problem, en-route modifications of the vehicle’s inner configuration are allowed. The main consequence is that the vehicle capacity is defined by a set of configurations and the choice of vehicle configuration is associated with binary decision variables.The problem is modeled as a mixed-integer program derived from the model of the heterogeneous dial-a-ride problem. Vehicle reconfiguration is a lever to efficiently reduce transportation costs, but the number of passengers and vehicle fleet setting make this problem intractable for exact solution methods. A large neighborhood search metaheuristic combined with a set covering component with a reactive mechanism to automatically adjust its parameters is therefore proposed. The resulting framework is evaluated against benchmarks from the literature, used for similar routing problems. It is also applied to a real case, in the context of the transportation of disabled children from their home to medical centers in the city of Lyon, France.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Tellez Sanchez, Oscar Augusto  ;  Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Supply Chain Management
Vercraene, Samuel
Lehuédé, Fabien
Péton, Olivier
Monteiro, Thibaud
Language :
English
Title :
The fleet size and mix dial-a-ride problem with reconfigurable vehicle capacity
Publication date :
2018
Journal title :
Transportation Research. Part C, Emerging Technologies
ISSN :
0968-090X
eISSN :
1879-2359
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
91
Pages :
99 - 123
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 15 February 2021

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