IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v58y2020i13p3881-3904.html
   My bibliography  Save this article

Performance evaluation of flow lines with non-identical and unreliable parallel machines and finite buffers

Author

Listed:
  • Alexandros Diamantidis
  • Jun-Ho Lee
  • Chrissoleon T. Papadopoulos
  • Jingshan Li
  • Cathal Heavey

Abstract

This paper examines serial production lines with unreliable non-identical parallel machines at each workstation and intermediate buffers with finite capacities. All machines are assumed to have exponential service times, times to failure and repair times. An efficient decomposition technique is introduced for the performance evaluation of such lines. Rather than replacing each parallel-machine workstation with an equivalent single-server workstation, the main contribution of this paper is the presentation of a direct approach to derive and apply decomposition equations directly for every parallel machine at each workstation. Experimental results indicate that such a method can provide a computationally efficient algorithm to analyse large serial unreliable multi-server production lines with a good accuracy compared against simulation and other available methods.

Suggested Citation

  • Alexandros Diamantidis & Jun-Ho Lee & Chrissoleon T. Papadopoulos & Jingshan Li & Cathal Heavey, 2020. "Performance evaluation of flow lines with non-identical and unreliable parallel machines and finite buffers," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 3881-3904, July.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:13:p:3881-3904
    DOI: 10.1080/00207543.2019.1636322
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1636322
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2019.1636322?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.

    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:taf:tprsxx:v:58:y:2020:i:13:p:3881-3904. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.