IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines

Listed author(s):
  • Simon Emde


    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Nils Boysen


    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

Registered author(s):

    In modern-day production systems, ever-rising product variety poses a great challenge for the internal logistics systems used to feed mixed-model assembly lines with the required parts. As an answer to this challenge many manufacturers especially from automobile industries have identified the supermarket-concept as a promising part feeding strategy to enable flexible small-lot deliveries at low cost. In this context, supermarkets are decentralized inhouse logistics areas in the direct vicinity of the final assembly line, which serve as intermediary stores for parts. Small tow trains are loaded with material in a supermarket and deliver parts Just-in-Time to the stations laying on their fixed route. This paper discusses the general pros and cons of the supermarket-concept and treats the decision problem of determining the optimal number and placement of supermarkets on the shop floor. A mathematical model is proposed, an exact dynamic programming algorithm presented, and the validity of the proposed approach for practical purposes is investigated in a comprehensive computational study.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by Friedrich-Schiller-University Jena, School of Economics and Business Administration in its series Jena Research Papers in Business and Economics - Working and Discussion Papers with number 14/2010.

    in new window

    Date of creation: 2010
    Publication status: Published in: International Journal of Production Economics 135/1 (2012), 393-402.
    Handle: RePEc:jen:jenjbe:2010-14
    Contact details of provider: Postal:
    Carl-Zeiss-Strasse 3, 07743 JENA

    Phone: +049 3641/ 9 43000
    Fax: +049 3641/ 9 43000
    Web page:

    More information through EDIRC

    Order Information: Postal: If a paper is not downloadable, please contact the author(s) or the library of University of Jena, not the archive maintainer.

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:jen:jenjbe:2010-14. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.