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Scheduling hybrid flow shop problem with non-fixed availability constraints

Author

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  • Walid Besbes
  • Jacques Teghem
  • Taicir Loukil

Abstract

In this study, we deal with a k-stage hybrid flow shop scheduling problem under availability constraints (HFSPAC). In such a problem, machines are not continuously available due to preventive maintenance tasks. Our study aims to provide a good approximate solution to this specific problem with the makespan minimisation as the performance measure. Few studies exist in the literature dealing with the HFSPAC. We consider in this paper two variants to tackle this problem. In the first, the starting times of maintenance tasks are fixed, whereas in the second variant, maintenance must be performed on given time windows. In this last case, a theoretical analysis is elaborated based on the machine idle time to decide which action to perform between left-shifting or right-shifting the maintenance task in the window. Due to the NP-hardness of the HFSPAC, an approximate approach, based on a genetic algorithm (GA), is proposed to minimise the makespan. Computational experiments are performed on randomly generated instances to show the efficiency of the proposed variant (flexibility of the starting times of the maintenance tasks) in terms of makespan minimisation. Moreover, a correlation function computation is proposed to statistically analyse these experiments. [Received 7 November 2008; Revised 30 May 2009; Accepted 6 December 2009]

Suggested Citation

  • Walid Besbes & Jacques Teghem & Taicir Loukil, 2010. "Scheduling hybrid flow shop problem with non-fixed availability constraints," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(4), pages 413-433.
    • Handle: RePEc:ids:eujine:v:4:y:2010:i:4:p:413-433
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    Citations

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    Cited by:

    1. Pan, Quan-Ke & Ruiz, Rubén, 2012. "An estimation of distribution algorithm for lot-streaming flow shop problems with setup times," Omega, Elsevier, vol. 40(2), pages 166-180, April.
    2. Geurtsen, M. & Didden, Jeroen B.H.C. & Adan, J. & Atan, Z. & Adan, I., 2023. "Production, maintenance and resource scheduling: A review," European Journal of Operational Research, Elsevier, vol. 305(2), pages 501-529.
    3. 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.

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