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Solving multi-criteria scheduling flow shop problem through compromise programming and satisfaction functions

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  • Allouche, Mohamed Anis
  • Aouni, Belaïd
  • Martel, Jean-Marc
  • Loukil, Taïcir
  • Rebaï, Abdelwaheb
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    Abstract

    The multi-criteria scheduling problem is one of the main research subjects in the field of multiple objectives programming. Several procedures have been developed to deal with this type of problem where some conflicting criteria have to be optimized simultaneously. The aim of our paper is to propose an aggregation procedure that integrates three different criteria to find the best sequence in a flow shop production environment. The compromise programming model and the concept of satisfaction functions will be utilized to integrate explicitly the manager's preferences according to the deviations between the achievement and the aspiration levels of the following criteria: Makespan, total flow time and total tardiness.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 192 (2009)
    Issue (Month): 2 (January)
    Pages: 460-467

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    Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:460-467

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Flow shop Multi-criteria scheduling Compromise programming Satisfaction functions Manager's preferences;

    References

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    1. Van Wassenhove, Luc N. & Gelders, Ludo F., 1980. "Solving a bicriterion scheduling problem," European Journal of Operational Research, Elsevier, vol. 4(1), pages 42-48, January.
    2. Gupta, Jatinder N. D. & Neppalli, Venkata R. & Werner, Frank, 2001. "Minimizing total flow time in a two-machine flowshop problem with minimum makespan," International Journal of Production Economics, Elsevier, vol. 69(3), pages 323-338, February.
    3. Loukil, T. & Teghem, J. & Tuyttens, D., 2005. "Solving multi-objective production scheduling problems using metaheuristics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 42-61, February.
    4. Herbert G. Campbell & Richard A. Dudek & Milton L. Smith, 1970. "A Heuristic Algorithm for the n Job, m Machine Sequencing Problem," Management Science, INFORMS, vol. 16(10), pages B630-B637, June.
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    Cited by:
    1. Yenisey, Mehmet Mutlu & Yagmahan, Betul, 2014. "Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends," Omega, Elsevier, vol. 45(C), pages 119-135.

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