IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v70y1997i0p155-17010.1023-a1018918003761.html
   My bibliography  Save this article

Job shop scheduling with separable sequence-dependent setups

Author

Listed:
  • In-Chan Choi
  • Osman Korkmaz

Abstract

In this paper, we consider a job shop scheduling problem in which the setup times of jobs are sequence dependent and separable from their processes. The objective of the problem is to minimize the time required to complete all jobs in the system. We formulate this problem as a mixed integer program and present a simple, polynomial time heuristic procedure for solving it. The procedure is based upon sequentially identifying a pair of operations that provide a minimum lower bound on the makespan of the associated two-jobym-machine problem with release times. A computational study demonstrates the superior performance of the new heuristic over the one developed by Zhou and Egbelu. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • In-Chan Choi & Osman Korkmaz, 1997. "Job shop scheduling with separable sequence-dependent setups," Annals of Operations Research, Springer, vol. 70(0), pages 155-170, April.
    • Handle: RePEc:spr:annopr:v:70:y:1997:i:0:p:155-170:10.1023/a:1018918003761
    DOI: 10.1023/A:1018918003761
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1018918003761
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1018918003761?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.

    Citations

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


    Cited by:

    1. Tomasz GawroĊ„ski, 2012. "Optimization of setup times in the furniture industry," Annals of Operations Research, Springer, vol. 201(1), pages 169-182, December.
    2. Allahverdi, Ali & Gupta, Jatinder N. D. & Aldowaisan, Tariq, 1999. "A review of scheduling research involving setup considerations," Omega, Elsevier, vol. 27(2), pages 219-239, April.
    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.

    More about this item

    Statistics

    Access and download statistics

    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:70:y:1997:i:0:p:155-170:10.1023/a:1018918003761. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.