This paper introduces a rolling horizon algorithm to plan the delivery of vehicles to automotive dealers by a heterogeneous fleet of auto-carriers. The problem consists in scheduling the deliveries over a multiple-day planning horizon during which requests for transportation arrive dynamically. In addition, the routing of the auto-carriers must take into account constraints related to the loading of the vehicles on the carriers. The objective is to minimize the sum of traveled distances, fixed costs for auto-carrier operation, service costs, and penalties for late deliveries. The problem is solved by a heuristic that first selects the vehicles to be delivered in the next few days and then optimizes the deliveries by an iterated local search procedure. A branch-and-bound search is used to check the feasibility of the loading. To handle the dynamic nature of the problem, the complete algorithm is applied repeatedly in a rolling horizon framework. Computational results on data from a major European logistics service provider show that the heuristic is fast and yields significant improvements compared to the sequential solution of independent daily problems.
|Data di pubblicazione:||2015|
|Titolo:||A rolling horizon algorithm for auto-carrier transportation|
|Autori:||Cordeau, Jean-François; Dell’Amico, Mauro; Falavigna, Simone; Iori, Manuel|
|Digital Object Identifier (DOI):||10.1016/j.trb.2015.02.009|
|Appare nelle tipologie:||Articolo su rivista|
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