IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v138y2005i1p21-5210.1007-s10479-005-2443-4.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-005-2443-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-005-2443-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomasz Gawroński, 2012. "Optimization of setup times in the furniture industry," Annals of Operations Research, Springer, vol. 201(1), pages 169-182, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Shadrokh, Shahram & Kianfar, Fereydoon, 2007. "A genetic algorithm for resource investment project scheduling problem, tardiness permitted with penalty," European Journal of Operational Research, Elsevier, vol. 181(1), pages 86-101, August.
    3. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
    4. Kolisch, Rainer & Hartmann, Sönke, 1998. "Heuristic algorithms for solving the resource-constrained project scheduling problem: Classification and computational analysis," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 469, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Schirmer, Andreas, 1998. "Case-based reasoning and improved adaptive search for project scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 472, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Klein, Robert, 2000. "Bidirectional planning: improving priority rule-based heuristics for scheduling resource-constrained projects," European Journal of Operational Research, Elsevier, vol. 127(3), pages 619-638, December.
    7. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    8. Hartmann, Sönke, 1997. "A comparative genetic algorithm for resource-constraint project scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 451, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    9. Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
    10. Schirmer, Andreas & Riesenberg, Sven, 1997. "Parameterized heuristics for project scheduling: Biased random sampling methods," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 456, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    11. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    12. Sprecher, Arno, 1999. "Network decomposition techniques for resource-constrained project scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 505, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Sprecher, Arno, 1996. "Solving the RCPSP efficiently at modest memory requirements," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 425, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    14. Hartmann, Sönke, 1999. "Self-adapting genetic algorithms with an application to project scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 506, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Buddhakulsomsiri, Jirachai & Kim, David S., 2006. "Properties of multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting," European Journal of Operational Research, Elsevier, vol. 175(1), pages 279-295, November.
    16. Schirmer, Andreas, 1999. "Fast iterative improvement methods for project scheduling under partially renewable resources," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 501, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Hartmann, Sönke, 2011. "Project scheduling with resource capacities and requests varying with time," Working Paper Series 01/2011, Hamburg School of Business Administration (HSBA).
    18. Hartmann, Sonke & Kolisch, Rainer, 2000. "Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 127(2), pages 394-407, December.
    19. Jens Poppenborg & Sigrid Knust, 2016. "A flow-based tabu search algorithm for the RCPSP with transfer times," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 305-334, March.
    20. Moumene, Khaled & Ferland, Jacques A., 2009. "Activity list representation for a generalization of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 199(1), pages 46-54, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:138:y:2005:i:1:p:21-52:10.1007/s10479-005-2443-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.