Iterated tabu search for the car sequencing problem
AbstractThis paper introduces an iterated tabu search heuristic for the daily car sequencing problem in which a set of cars must be sequenced so as to satisfy requirements from the paint shop and the assembly line. The iterated tabu search heuristic combines a classical tabu search with perturbation operators that help escape from local optima. The resulting heuristic is flexible, easy to implement, and fast. It has produced very good results on a set of test instances provided by the French car manufacturer Renault.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 191 (2008)
Issue (Month): 3 (December)
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Web page: http://www.elsevier.com/locate/eor
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- Smith, Kate & Palaniswami, M. & Krishnamoorthy, M., 1996. "Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem," European Journal of Operational Research, Elsevier, vol. 93(2), pages 300-316, September.
- Gagne, Caroline & Gravel, Marc & Price, Wilson L., 2006. "Solving real car sequencing problems with ant colony optimization," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1427-1448, November.
- Boysen, Nils & Scholl, Armin & Wopperer, Nico, 2012.
"Resequencing of mixed-model assembly lines: Survey and research agenda,"
European Journal of Operational Research,
Elsevier, vol. 216(3), pages 594-604.
- Nils Boysen & Armin Scholl & Nico Wopperer, 2011. "Resequencing of mixed-model assembly lines: Survey and research agenda," Jena Research Papers in Business and Economics - Working and Discussion Papers 03/2011, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
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