Reference : Vehicle loading optimization with stochastic supply
Scientific congresses and symposiums : Unpublished conference
Business & economic sciences : Production, distribution & supply chain management
http://hdl.handle.net/2268/116831
Vehicle loading optimization with stochastic supply
English
Amand, Guillaume mailto [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >]
Arda, Yasemin mailto [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >]
Crama, Yves mailto [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Recherche opérationnelle et gestion de la production >]
Kronus, David mailto [> >]
Pironet, Thierry mailto [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Recherche opérationnelle et gestion de la production >]
7-Jul-2009
15
No
No
International
EURO 2009, 23rd European Conference on Operational Research
5-8 July 2009
EURO Association of European Operational Research Societies
Bonn
Germany
[en] loading ; optimization ; stochastic
[en] The increased availability of information makes it possible to coordinate processes which are usually functionnally separated in large companies, such as production and transportation. This work investigates the optimization of vehicle loading for individual orders over a multiperiod horizon when items have stochastic release dates from production, and time windows are imposed for delivery at the customer plant. The loading decisions are made in order to minimize the expected cost. Starting from the deterministic model, we develop scenario-based models for the stochastic version of the problem and we investigate the performance of various solution methods.
QuantOM
Researchers ; Professionals ; General public
http://hdl.handle.net/2268/116831

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