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Metaheuristics based on Bin Packingfor the line balancing problem

Published online by Cambridge University Press:  15 June 2007

Michel Gourgand,
Nathalie Grangeon and
Sylvie Norre
Michel Gourgand
Affiliation:
Université Blaise Pascal, LIMOS CNRS UMR 6158, ISIMA, BP 10125, 63173 Aubière Cedex, France; grangeon@isima.fr; gourgand@isima.fr
Nathalie Grangeon
Affiliation:
Université Blaise Pascal, LIMOS CNRS UMR 6158, Antenne IUT de Montluçon, Avenue Aristide Briand, 03100 Montluçon, France; norre@moniut.univ-bpclermont.fr
Sylvie Norre
Affiliation:
Université Blaise Pascal, LIMOS CNRS UMR 6158, Antenne IUT de Montluçon, Avenue Aristide Briand, 03100 Montluçon, France; norre@moniut.univ-bpclermont.fr
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Abstract

The line balancing problem consits in assigning tasks to stations in orderto respect precedence constraints and cycle time constraints. In thispaper, the cycle time is fixed and the objective is to minimize the numberof stations. We propose to use metaheuristics based on simulated annealingby exploiting the link between the line balancing problem and the binpacking problem. The principle of the method lies in the combinationbetween a metaheuristic and a bin packing heuristic. Two representationsof a solution and two neighboring systems are proposed and the methods arecompared with results from the literature. They are better or similar totabu search based algorithm.


Keywords

Flow-shopstochasticMarkovian analysissimulationmetaheuristic

Information

Type
Research Article
Information
RAIRO - Operations Research , Volume 41 , Issue 2: ROADEF 05 , April 2007, pp. 193 - 211
Copyright
© EDP Sciences, ROADEF, SMAI, 2007

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