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Maximizing the number of jobs scheduled at their baseline starting times in case of machine failures

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  • Philippe Chrétienne

    (Sorbonne Université, Université Pierre et Marie Curie)

Abstract

We investigate the problem of keeping the maximum number of starting times of a baseline schedule if some machines happen to be out of order when the baseline schedule is to be implemented. If the machines are identical, we show that the problem is polynomially solved when no deadline is imposed on the reactive schedule and is strongly NP-hard otherwise. If the number of unrelated machines is fixed and if no deadline is imposed on the reactive schedule, a polynomial algorithm, based on a state graph, has been developed. We conclude with an open complexity question and some further research directions for this class of problems.

Suggested Citation

  • Philippe Chrétienne, 2020. "Maximizing the number of jobs scheduled at their baseline starting times in case of machine failures," Journal of Scheduling, Springer, vol. 23(1), pages 135-143, February.
    • Handle: RePEc:spr:jsched:v:23:y:2020:i:1:d:10.1007_s10951-019-00621-x
    DOI: 10.1007/s10951-019-00621-x
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    References listed on IDEAS

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    1. HazIr, Öncü & Haouari, Mohamed & Erel, Erdal, 2010. "Robust scheduling and robustness measures for the discrete time/cost trade-off problem," European Journal of Operational Research, Elsevier, vol. 207(2), pages 633-643, December.
    2. Herroelen, Willy & Leus, Roel, 2004. "The construction of stable project baseline schedules," European Journal of Operational Research, Elsevier, vol. 156(3), pages 550-565, August.
    3. Bendotti, Pascale & Chrétienne, Philippe & Fouilhoux, Pierre & Quilliot, Alain, 2017. "Anchored reactive and proactive solutions to the CPM-scheduling problem," European Journal of Operational Research, Elsevier, vol. 261(1), pages 67-74.
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