ORBi: Amand Guillaume - Vehicle loading optimization with stochastic supply

Reference : Vehicle loading optimization with stochastic supply


	Document type :	Scientific congresses and symposiums : Unpublished conference
	Discipline(s) :	Business & economic sciences : Production, distribution & supply chain management
	To cite this reference:	http://hdl.handle.net/2268/116831

Title :	Vehicle loading optimization with stochastic supply
Language :	English
Author, co-author :	Amand, Guillaume [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >]
	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 >]
Publication date :	7-Jul-2009
Page number :	15
On invitation :	No
Audience :	International
Event name :	EURO 2009, 23rd European Conference on Operational Research
Event date :	5-8 July 2009
Event organizer :	EURO Association of European Operational Research Societies
Event place (city) :	Bonn
Event country :	Germany
Keywords :	[en] loading ; optimization ; stochastic
Abstract :	[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.
Research units :	QuantOM
Target :	Researchers ; Professionals ; General public
Permalink :	http://hdl.handle.net/2268/116831

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