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Variable neighborhood search algorithms for the permutation flowshop scheduling problem with the preventive maintenance

Author

Listed:
  • Wahiba Jomaa

    (Université de Sfax)

  • Mansour Eddaly

    (Qassim University
    Université de Gafsa)

  • Bassem Jarboui

    (Higher Colleges of Technology)

Abstract

This paper addresses to the permutation flowshop scheduling problem while considering the preventive maintenance in the non-resumable case. The criterion to be optimized is the makespan. Two variable neighborhood search algorithms are proposed. In the first algorithm, only one initial solution is generated according to a constructive heuristic. In the second algorithm, a learning process using a probabilistic model is introduced to the variable neighborhood algorithm in order to generate the initial solution. The computational results show the high performance of the proposed algorithms according to the compared approaches. Besides, the change of the initial solution during the optimization procedure may improve the performance of the variable neighborhood search algorithm.

Suggested Citation

  • Wahiba Jomaa & Mansour Eddaly & Bassem Jarboui, 2021. "Variable neighborhood search algorithms for the permutation flowshop scheduling problem with the preventive maintenance," Operational Research, Springer, vol. 21(4), pages 2525-2542, December.
    • Handle: RePEc:spr:operea:v:21:y:2021:i:4:d:10.1007_s12351-019-00507-y
    DOI: 10.1007/s12351-019-00507-y
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    References listed on IDEAS

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    Cited by:

    1. Mahyar Alimian & Vahidreza Ghezavati & Reza Tavakkoli-Moghaddam & Reza Ramezanian, 2024. "On the availability and changeover cases of the general lot-sizing and scheduling problem with maintenance modelling: a Lagrangian-based heuristic approach," Operational Research, Springer, vol. 24(2), pages 1-43, June.

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