ORBi: Kleyntssens Thomas - Automatic Cargo Load Planning: Special shipments

Reference : Automatic Cargo Load Planning: Special shipments


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Business & economic sciences : Quantitative methods in economics & management
	To cite this reference:	http://hdl.handle.net/2268/130535

Title :	Automatic Cargo Load Planning: Special shipments
Language :	English
Author, co-author :	Kleyntssens, Thomas [Université de Liège - ULg > > > Form. doct. sc. éco. & gest. (sc. gestion - Bologne)]
	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 >]
Publication date :	28-Aug-2012
Main document title :	ILS 2012 Proceedings
Pages :	7 oages
On invitation :	No
Audience :	International
Event name :	4th International Conference on Information Systems, Logistics and Supply Chai
Event date :	du 26 au 29 août 2012
Event organizer :	CIRRELT, Université Laval, Canada
Event place (city) :	Québec
Event country :	Canada
Keywords :	[en] Aircraft loading ; weight and balance ; hazardous
Abstract :	[en] The aircraft loading problem is a real-world combinatorial optimisation problem highly constrained. Indeed, loading the aircraft so the gross weight is less than the maximum allowable is not enough. This weight must be distributed to keep the centre of gravity within specified limits. Moreover, an aircraft has usually several cargo compartments with specific contours and structural limitations such as floor loading, combined load limits and cumulative load limitations. Finally, some shipments are particularly restrictive to transport, like dangerous goods, live animals and perishable goods. This paper is concerned with the incorporation of these latter constraints in a mixed integer linear program for the problem of loading a set of Unit Loading Devices and bulk into an aircraft. Experimental results show that our method achieves optimal solutions within only few seconds.
Research units :	QuantOM
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/130535

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