Just-in-Time supermarkets for part supply in the automobile industry
Daria Battini (),
Nils Boysen () and
Simon Emde ()
Metrika: International Journal for Theoretical and Applied Statistics, 2013, vol. 24, issue 2, 209-217
Abstract:
In the automotive industry, a supermarket is a decentralized in-house logistics area for intermediately storing parts in direct vicinity of the assembly line consuming these parts. In a supermarket, tow trains—consisting of a small towing vehicle and a few waggons—are loaded with parts, which then successively visit the stations of the line according to a periodical schedule exchanging empty with filled part bins. This emerging logistics concept enables a reliable and flexible small-lot delivery of parts in line with the basic Just-in-Time (JIT) philosophy. This paper describes the supermarket concept in detail and surveys the literature on the elementary decision problems arising when implementing the supermarket concept. Finally, interfaces with other basic business functions are characterized. Copyright Springer Verlag 2013
Keywords: Automobile industry; Part logistics; Just-in-Time; Decision support (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00187-012-0154-y (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:24:y:2013:i:2:p:209-217
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00187-012-0154-y
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().