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Minimizing the makespan for the two-machine flow shop scheduling problem with random breakdown

Author

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  • Faicel Hnaien

    (University of Technology of Troyes)

  • Taha Arbaoui

    (University of Technology of Troyes)

Abstract

This paper studies a two-machine flow shop scheduling problem with availability constraints due to a breakdown on the first machine. The starting time of the breakdown is considered stochastic and follows a known probability distribution. A service-level constraint is introduced to model the guarantee with which the obtained schedule takes into account the stochastic nature of the breakdown’s starting time. The objective is to find a solution that minimizes the makespan while satisfying the desired service level. The studied problem is strongly NP-hard. We develop two mixed integer linear models that linearize the non-linear model. Using interval modeling of the breakdown, we propose lower bounds and a valid inequality that are used to strengthen both models. When the lower bounds and the valid inequality are applied, the performance of both models is greatly improved by reducing the gap and reaching optimality for more instances. We also introduced two heuristics that exploit the proposed interval modeling. The computational results indicate that both models are able to reach optimality for the 10-job instances. Moreover, the comparisons results between both models with the two heuristics showed their effectiveness.

Suggested Citation

  • Faicel Hnaien & Taha Arbaoui, 2023. "Minimizing the makespan for the two-machine flow shop scheduling problem with random breakdown," Annals of Operations Research, Springer, vol. 328(2), pages 1437-1460, September.
    • Handle: RePEc:spr:annopr:v:328:y:2023:i:2:d:10.1007_s10479-023-05324-3
    DOI: 10.1007/s10479-023-05324-3
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    References listed on IDEAS

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    1. Mourad Benttaleb & Faicel Hnaien & Farouk Yalaoui, 2019. "Minimising the makespan in the two-machine job shop problem under availability constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 57(5), pages 1427-1457, March.
    2. Lee, Chung-Yee, 1999. "Two-machine flowshop scheduling with availability constraints," European Journal of Operational Research, Elsevier, vol. 114(2), pages 420-429, April.
    3. Hnaien, Faicel & Yalaoui, Farouk & Mhadhbi, Ahmed, 2015. "Makespan minimization on a two-machine flowshop with an availability constraint on the first machine," International Journal of Production Economics, Elsevier, vol. 164(C), pages 95-104.
    4. Portougal, Victor & Trietsch, Dan, 2006. "Johnson's problem with stochastic processing times and optimal service level," European Journal of Operational Research, Elsevier, vol. 169(3), pages 751-760, March.
    5. Allahverdi, Ali & Mittenthal, John, 1995. "Scheduling on a two-machine flowshop subject to random breakdowns with a makespan objective function," European Journal of Operational Research, Elsevier, vol. 81(2), pages 376-387, March.
    6. C. T. Ng & Natalja M. Matsveichuk & Yuri N. Sotskov & T. C. Edwin Cheng, 2009. "Two-Machine Flow-Shop Minimum-Length Scheduling With Interval Processing Times," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 26(06), pages 715-734.
    7. Allaoui, H. & Artiba, A. & Elmaghraby, S.E. & Riane, F., 2006. "Scheduling of a two-machine flowshop with availability constraints on the first machine," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 16-27, February.
    8. Nadarajah, Saralees & Kotz, Samuel, 2006. "R Programs for Truncated Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(c02).
    9. Aytug, Haldun & Lawley, Mark A. & McKay, Kenneth & Mohan, Shantha & Uzsoy, Reha, 2005. "Executing production schedules in the face of uncertainties: A review and some future directions," European Journal of Operational Research, Elsevier, vol. 161(1), pages 86-110, February.
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    Cited by:

    1. Mario Levorato & David Sotelo & Rosa Figueiredo & Yuri Frota, 2024. "Efficient solutions to the m-machine robust flow shop under budgeted uncertainty," Annals of Operations Research, Springer, vol. 338(1), pages 765-799, July.

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