IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v3y2008i2p183-200.html
   My bibliography  Save this article

A simulation- and optimisation-based decision support system for an uncertain supply chain in a dairy firm

Author

Listed:
  • Weiqi Li
  • Fang Zhang
  • Ming Jiang

Abstract

Supply Chain Management (SCM) refers to the problems where the decisions of supply, production and demand are integrated in a single framework. A typical supply chain faces uncertainty in terms of supply, production and demand. Therefore, SCM is largely about managing uncertainty and risks. This paper introduces a simulation- and optimisation-based decision support system that helps the scheduler in a dairy firm to schedule milk tankers and production in order to (1) meet the market demand, (2) minimise the difference between supply and demand, and (3) minimise the overall trip cost for collecting raw milk from milk farmers.

Suggested Citation

  • Weiqi Li & Fang Zhang & Ming Jiang, 2008. "A simulation- and optimisation-based decision support system for an uncertain supply chain in a dairy firm," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 3(2), pages 183-200.
    • Handle: RePEc:ids:ijbisy:v:3:y:2008:i:2:p:183-200
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=16585
    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:ijbisy:v:3:y:2008:i: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=172 .

    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.