Article (Scientific journals)
A Mixed Integer Programming formulation for the three dimensional bin packing problem deriving from an air cargo application
Paquay, Célia; Schyns, Michael; Limbourg, Sabine
2016In International Transactions in Operational Research, 23 (1-2), p. 187-213
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Keywords :
bin-packing; mathematical formulation; unit load devices
Abstract :
[en] The present paper looks into the problem of optimising the loading of boxes into containers. The goal is to minimise the unused volume. This type of problem belongs to the family of Multiple Bin Size Bin Packing Problems. The approach includes an extensive set of constraints encountered in real-world applications in the three-dimensional case: the stability, the fragility of the items, the weight distribution and the possibility to rotate the boxes. It also includes the specific situation in which containers are truncated parallelepipeds. This is typical in the field of air transportation. While most papers on cutting and packing problems describe ad-hoc procedures, this paper proposes a mixed integer linear program. The validity of this model is tested on small instances.
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Paquay, Célia  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Logistique
Schyns, Michael ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Informatique de gestion
Limbourg, Sabine  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Logistique
Language :
English
Title :
A Mixed Integer Programming formulation for the three dimensional bin packing problem deriving from an air cargo application
Publication date :
2016
Journal title :
International Transactions in Operational Research
ISSN :
0969-6016
Publisher :
Blackwell Publishing
Volume :
23
Issue :
1-2
Pages :
187-213
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
COMEX project: Combinatorial Optimization: Metaheuristics and Exact methods
Funders :
BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
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