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Schedule Generation Schemes for the Job-Shop Problem with Sequence-Dependent Setup Times: Dominance Properties and Computational Analysis

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  • Christian Artigues
  • Pierre Lopez
  • Pierre-Dimitri Ayache

Abstract

We consider the job-shop problem with sequence-dependent setup times. We focus on the formal definition of schedule generation schemes (SGSs) based on the semi-active, active, and non-delay schedule categories. We study dominance properties of the sets of schedules obtainable with each SGS. We show how the proposed SGSs can be used within single-pass and multi-pass priority rule based heuristics. We study several priority rules for the problem and provide a comparative computational analysis of the different SGSs on sets of instances taken from the literature. The proposed SGSs significantly improve previously best-known results on a set of hard benchmark instances. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Christian Artigues & Pierre Lopez & Pierre-Dimitri Ayache, 2005. "Schedule Generation Schemes for the Job-Shop Problem with Sequence-Dependent Setup Times: Dominance Properties and Computational Analysis," Annals of Operations Research, Springer, vol. 138(1), pages 21-52, September.
    • Handle: RePEc:spr:annopr:v:138:y:2005:i:1:p:21-52:10.1007/s10479-005-2443-4
    DOI: 10.1007/s10479-005-2443-4
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    References listed on IDEAS

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    1. Kolisch, Rainer, 1996. "Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation," European Journal of Operational Research, Elsevier, vol. 90(2), pages 320-333, April.
    2. Joao António Noivo & Helena Ramalhinho-Lourenço, 1998. "Solving two production scheduling problems with sequence-dependent set-up times," Economics Working Papers 338, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Sprecher, Arno & Kolisch, Rainer & Drexl, Andreas, 1995. "Semi-active, active, and non-delay schedules for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 80(1), pages 94-102, January.
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    Cited by:

    1. Drótos, Márton & Erdos, Gábor & Kis, Tamás, 2009. "Computing lower and upper bounds for a large-scale industrial job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 197(1), pages 296-306, August.
    2. Raúl Mencía & Carlos Mencía, 2021. "One-Machine Scheduling with Time-Dependent Capacity via Efficient Memetic Algorithms," Mathematics, MDPI, vol. 9(23), pages 1-24, November.
    3. Tomasz Gawroński, 2012. "Optimization of setup times in the furniture industry," Annals of Operations Research, Springer, vol. 201(1), pages 169-182, December.
    4. Kurowski, Krzysztof & Pecyna, Tomasz & Slysz, Mateusz & Różycki, Rafał & Waligóra, Grzegorz & Wȩglarz, Jan, 2023. "Application of quantum approximate optimization algorithm to job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 310(2), pages 518-528.
    5. Christian Artigues & Dominique Feillet, 2008. "A branch and bound method for the job-shop problem with sequence-dependent setup times," Annals of Operations Research, Springer, vol. 159(1), pages 135-159, March.

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