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Bilevel programming approach applied to the flow shop scheduling problem under fuzziness

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  • Samir Abass

Abstract

This paper presents a fuzzy bilevel programming approach to solve the flow shop scheduling problem. The problem considered here differs from the standard form in that operators are assigned to the machines and imposing a hierarchy of two decision makers with fuzzy processing times. The shop owner considered higher level and assigns the jobs to the machines in order to minimize the flow time while the customer is the lower level and decides on a job schedule in order to minimize the makespan. In this paper, we use the concepts of tolerance membership function at each level to define a fuzzy decision model for generating optimal (satisfactory) solution for bilevel flow shop scheduling problem. A solution algorithm for solving this problem is given. Copyright Springer-Verlag Berlin/Heidelberg 2005

Suggested Citation

  • Samir Abass, 2005. "Bilevel programming approach applied to the flow shop scheduling problem under fuzziness," Computational Management Science, Springer, vol. 4(4), pages 279-293, November.
    • Handle: RePEc:spr:comgts:v:4:y:2005:i:4:p:279-293
    DOI: 10.1007/s10287-005-0035-z
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