IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v3y2008i1-2p183-200.html
   My bibliography  Save this article

Online MTO lead-time scheduling: a probabilistic approach

Author

Listed:
  • Zu-Hsu Lee

Abstract

This paper considers a lead time (or due date) scheduling problem faced by a manufacturer that produces customised products according to specific customer orders. It uses a single sever model to design an effective, yet simple heuristic procedures for both sequencing and lead time determination decisions. Typically, a series of jobs with individual arrival times and weights must be sequenced on a single machine. With each arrival, a lead time must be determined, and the job completed before the promised due date. An on-line heuristic may be developed in certain situations, based on limited information about the future, with the objective of minimising the average (or total) weighted due date for large size instances. Computational testing shows that this heuristic is more effective than the conventional scheduling rules not only for the average weighted due date, but also for the average weighted lead time, for both stable systems and heavily loaded ones.

Suggested Citation

  • Zu-Hsu Lee, 2008. "Online MTO lead-time scheduling: a probabilistic approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(1/2), pages 183-200.
    • Handle: RePEc:ids:ijores:v:3:y:2008:i:1/2:p:183-200
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=16160
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijores:v:3:y:2008:i:1/2:p:183-200. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    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.