| Reference : Multi-period vehicle loading with stochastic release dates |
| E-prints/Working papers : First made available on ORBi | |||
| Business & economic sciences : Quantitative methods in economics & management Business & economic sciences : Production, distribution & supply chain management | |||
| http://hdl.handle.net/2268/134402 | |||
| Multi-period vehicle loading with stochastic release dates | |
| English | |
Arda, Yasemin [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >] | |
Crama, Yves [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Recherche opérationnelle et gestion de la production >] | |
Kronus, David [> >] | |
Pironet, Thierry [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Recherche opérationnelle et gestion de la production >] | |
Van Hentenryck, Pascal [> >] | |
| 16-Nov-2012 | |
| Submitted | |
| 24 | |
| [en] transportation ; vehicle loading ; stochastic | |
| [en] This paper investigates a multi-period vehicle loading problem with stochastic information regarding the release dates of items to be transported. The deterministic version of the problem can be formulated as a large-scale set covering problem. Several heuristic algorithms are proposed to generate decision policies for the stochastic optimization model
over a long rolling horizon. The resulting policies have been extensively tested on instances which display the main characteristics of the industrial case-study that motivated the research. The tests demonstrate the benefits of the multi-period stochastic model over simple myopic strategies. A simple and efficient heuristic is shown to deliver good policies and to be robust against errors in the estimation of the probability distribution of the release dates. | |
| QuantOM- HEC-ULg | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/2268/134402 |
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