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Optimally routing and scheduling tow trains for JIT-supply of mixed-model assembly lines

Simon Emde () and Nils Boysen ()
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Simon Emde: School of Economics and Business Administration, Friedrich-Schiller-University Jena
Nils Boysen: School of Economics and Business Administration, Friedrich-Schiller-University Jena

No 08/2010, Jena Research Papers in Business and Economics - Working and Discussion Papers (Expired!) from Friedrich Schiller University Jena, School of Economics and Business Administration

Abstract: In recent years, more and more automobile producers adopted the supermarket-concept to enable a flexible and reliable Just-in-Time (JIT) part supply of their mixed-model assembly lines. Within this concept, a supermarket is a decentralized in-house logistics area where parts are intermediately stored and then loaded on small tow trains. These tow trains travel across the shop floor on specific routes to make frequent small-lot deliveries which are needed by the stations of the line. To enable a reliable part supply in line with the JIT-principle, the interdependent problems of routing, that is, partitioning stations to be supplied among tow trains, and scheduling, i.e., deciding on the start times of each tow train's tours through its assigned stations, need to be solved. This paper introduces an exact solution procedure which solves both problems simultaneously in polynomial runtime. Additionally, management implications regarding the trade-off between number and capacity of tow trains and in-process inventory near the line are nvestigated within a comprehensive computational study.

Keywords: Mixed-model assembly lines; Just-in-Time; Material supply; Tow Trains (search for similar items in EconPapers)
Date: 2010-06-30
New Economics Papers: this item is included in nep-cmp
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Published in: European Journal of Operational Research 217/2 (2012), 287-299.

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http://dx.doi.org/10.1016/j.ejor.2011.09.013 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:jen:jenjbe:2010-08

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