Periodic Vehicle Routing Problem: classification and heuristic -- Problème de tournées de véhicules multipériodiques : classification et heuristique pour la planification tactique
VANDERBECK, François
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
VANDERBECK, François
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
< Réduire
Institut de Mathématiques de Bordeaux [IMB]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Langue
fr
Article de revue
Ce document a été publié dans
RAIRO - Operations Research. 2006, vol. 40, p. 169-194
EDP Sciences
Résumé en anglais
The Periodic Vehicle Routing Problem (PVRP) consists in assigning customer visits to vehicle routes in some periods of a time horizon so as to satisfy some service level requirements that can take the form of frequency of ...Lire la suite >
The Periodic Vehicle Routing Problem (PVRP) consists in assigning customer visits to vehicle routes in some periods of a time horizon so as to satisfy some service level requirements that can take the form of frequency of visit, constraint on time lag between visits, or pre-defined visit patterns. We present different variants of this problem and propose a classification. Then, we consider a model for tactical planning for which we propose a heuristic: we optimise the planning of customer visits to achieve both workload balancing and regionalisation of the routes. The objective of regionalisation reflects a desire to specialize routes to restricted geographical area. The standard minimisation of distance travelled is left for the underlying operational decision making model. Our heuristic achieves practical solutions for an industrial instance with 16658 visits to schedule over a horizon of 20 days.< Réduire
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