IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v37y1989i4p565-579.html
   My bibliography  Save this article

Optimal Inventory Policies for Assembly Systems Under Random Demands

Author

Listed:
  • Kaj Rosling

    (Linköping Institute of Technology, Linkoping, Sweden)

Abstract

This paper considers an inventory model of an assembly system with random demands and proportional costs of production and stock holding activities. The model is a generalization of the facilities in series model of Clark and Scarf. Under an assumption on the initial stock levels that in any case should appear in the long run ( Long-Run Balance ), it is demonstrated that the assembly system can be remodeled as a series system. Hence, simple reorder policies are optimal and the computational requirements are drastically reduced. Simple approximate policies are suggested for the generally short period of time when systems might be out of long-run balance. There is some discussion of extensions.

Suggested Citation

  • Kaj Rosling, 1989. "Optimal Inventory Policies for Assembly Systems Under Random Demands," Operations Research, INFORMS, vol. 37(4), pages 565-579, August.
    • Handle: RePEc:inm:oropre:v:37:y:1989:i:4:p:565-579
    DOI: 10.1287/opre.37.4.565
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.37.4.565
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.37.4.565?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
    ---><---

    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:inm:oropre:v:37:y:1989:i:4:p:565-579. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.