DocumentCode :
2349122
Title :
Two stages optimization problem: New variant of Bin Packing Problem for decision making
Author :
Shraideh, Ahmad ; Camus, Hervé ; Yim, Pascal
Author_Institution :
LAGIS Ecole Centrale de Lille, Villeneuve d´´Ascq
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
921
Lastpage :
925
Abstract :
In this paper, we present a new multi-criteria assignment problem that groups characteristics from the well known bin packing problem (BPP) and generalized assignment problem (GAP). Similarities and differences between these problems are discussed, and a new variant of BPP is presented. The new variant will be called generalized assignment problem with identified first-use bins (GAPIFB). The GAPIFB will be used to supply decision makers with quantitative and qualitative indicators in order to optimize a business process. An algorithm based on the GAP problem model and on GAPIFB is proposed.
Keywords :
bin packing; decision making; optimisation; bin packing problem; decision making; generalized assignment problem; multi-criteria assignment problem; optimization problem; qualitative indicators; quantitative indicators; supply decision makers; Business; Clustering algorithms; Collaboration; Collaborative work; Computer science; Contracts; Decision making; Humans; Information technology; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Conference_Location :
Wisia
Print_ISBN :
978-83-60810-14-9
Type :
conf
DOI :
10.1109/IMCSIT.2008.4747352
Filename :
4747352
Link To Document :
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