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A Beam Search approach for the optimization version of the Car Sequencing Problem

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Listed:
  • Joaquín Bautista
  • Jordi Pereira
  • Belarmino Adenso-Díaz

Abstract

The Car Sequencing Problem (CSP) is a feasibility problem that has attracted the attention of the Constraint Programming community for a number of years now. In this paper, a new version (opt-CSP) that extends the original problem is defined, converting this into an optimization problem in which the goal is to satisfy the typical hard constraints. This paper presents a solution procedure for opt-CSP using Beam Search. Computational results are presented using public instances that verify the goodness of the procedure and demonstrate its excellent performance in obtaining feasible solutions for the majority of instances while satisfying the new constraints. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Joaquín Bautista & Jordi Pereira & Belarmino Adenso-Díaz, 2008. "A Beam Search approach for the optimization version of the Car Sequencing Problem," Annals of Operations Research, Springer, vol. 159(1), pages 233-244, March.
    • Handle: RePEc:spr:annopr:v:159:y:2008:i:1:p:233-244:10.1007/s10479-007-0278-x
    DOI: 10.1007/s10479-007-0278-x
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    References listed on IDEAS

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    1. Bautista, J. & Companys, R. & Corominas, A., 1996. "Heuristics and exact algorithms for solving the Monden problem," European Journal of Operational Research, Elsevier, vol. 88(1), pages 101-113, January.
    2. M Gravel & C Gagné & W L Price, 2005. "Review and comparison of three methods for the solution of the car sequencing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1287-1295, November.
    3. 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.
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    Cited by:

    1. Bautista, Joaquín & Alfaro, Rocío & Batalla, Cristina, 2015. "Modeling and solving the mixed-model sequencing problem to improve productivity," International Journal of Production Economics, Elsevier, vol. 161(C), pages 83-95.
    2. Uli Golle & Franz Rothlauf & Nils Boysen, 2015. "Iterative beam search for car sequencing," Annals of Operations Research, Springer, vol. 226(1), pages 239-254, March.
    3. Bautista, Joaquín & Cano, Alberto & Alfaro, Rocío, 2012. "Models for MMSP-W considering workstation dependencies: A case study of Nissan’s Barcelona plant," European Journal of Operational Research, Elsevier, vol. 223(3), pages 669-679.

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