Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines
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.
|Date of creation:||2010|
|Date of revision:|
|Publication status:||Published in: International Journal of Production Economics 135/1 (2012), 393-402.|
|Contact details of provider:|| Postal: |
Phone: +049 3641/ 9 43000
Fax: +049 3641/ 9 43000
Web page: http://www.wiwiss.uni-jena.de/index.html
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.|
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 references are entirely missing, you can add them using this form.