IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v107y2001i1p83-10010.1023-a1014942830746.html
   My bibliography  Save this article

Short-Term Capacity Adjustment with Offline Production for a Flexible Manufacturing System under Abnormal Disturbances

Author

Listed:
  • Renato de Matta
  • Vernon Ning Hsu
  • Chang-Xue Feng

Abstract

Large production variations caused by abnormal disturbances can significantly reduce the production capacity of a flexible manufacturing system (FMS). To prevent production delays, short-term capacity adjustment strategies can be used to augment the capacity of the FMS, such as working overtime, using alternative tools that are suited for faster processing, and producing parts outside of the FMS. We propose a mixed integer programming (MIP) model to obtain an optimal production plan for a multi-machine FMS. Our model evaluates both the FMS loading decision and the effective use of short-term capacity adjustment strategies to minimize the total part production cost. We develop an iterative procedure to solve the model that uses the Lagrangian relaxation method for finding lower bounds and a Lagrangian heuristic for obtaining feasible solutions. The procedure exploits certain special structures found in the Lagrangian multipliers which enable us to obtain good solutions to reasonably large test problems quickly. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Renato de Matta & Vernon Ning Hsu & Chang-Xue Feng, 2001. "Short-Term Capacity Adjustment with Offline Production for a Flexible Manufacturing System under Abnormal Disturbances," Annals of Operations Research, Springer, vol. 107(1), pages 83-100, October.
    • Handle: RePEc:spr:annopr:v:107:y:2001:i:1:p:83-100:10.1023/a:1014942830746
    DOI: 10.1023/A:1014942830746
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1014942830746
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1014942830746?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. Sinem Buyuksaatci Kiris & Enes Eryarsoy & Selim Zaim & Dursun Delen, 2023. "An integrated approach for lean production using simulation and data envelopment analysis," Annals of Operations Research, Springer, vol. 320(2), pages 863-886, January.
    2. Chang Liu & Zhen Li & Jiafu Tang & Xuequn Wang & Ming-Jong Yao, 2022. "How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China," Annals of Operations Research, Springer, vol. 316(1), pages 529-554, September.

    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:107:y:2001:i:1:p:83-100:10.1023/a:1014942830746. 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.