ORBi: Limbourg Sabine - Automatic Cargo Load Planning

Reference : Automatic Cargo Load Planning


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Business & economic sciences : Production, distribution & supply chain management
	To cite this reference:	http://hdl.handle.net/2268/85042

Title :	Automatic Cargo Load Planning
Language :	English
Alternative title :	[fr] Automatisation de la planification du chargement d'un avion cargo
Author, co-author :	Limbourg, Sabine [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Logistique >]
	Schyns, Michael [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Informatique de gestion >]
	Laporte, Gilbert [HEC Montréal > CIRRELT > > >]
Publication date :	2-Mar-2011
Main document title :	Proceedings
Pages :	22
On invitation :	No
Audience :	International
Event name :	12ème congrès de la société de recherche opérationnelle française (ROADEF 2011)
Event date :	2-4 mars 2011
Event organizer :	Ecole Nationale Supéreure des Mines
Event place (city) :	St Etienne
Event country :	France
Keywords :	[en] mixed integer programming ; cargo aircraft ; unit load devices ; weight and balance ; moment of inertia
Abstract :	[en] The goal of this paper is the development of a new mixed integer linear pro- gram designed for optimally loading a set of containers and pallets into a compartmentalised cargo aircraft. It is based on real-world problems submitted by a professional partner. This model takes into account strict technical and safety constraints. In addition to the standard goal of optimally positioning the centre of gravity, we also propose a new approach based on the moment of inertia. This double goal implies an increase in aircraft efficiency and a decrease in fuel consumption. Cargo loading generally remains a manual, or at best a computer assisted, and time consuming task. A fully automatic software was developed to quickly compute optimal solutions. Experimental results show that our approach achieves better solutions than manual planning, within only a few seconds.
Research units :	QuantOM
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/2268/85042

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Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	roadef_mschyns.pdf	Extended abstract for ROADEF 2011	Author preprint	55.29 kB	View/Open

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