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Optimally routing and scheduling tow trains for 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 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.

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    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 (Expired!) with number 08/2010.

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    Date of creation: 30 Jun 2010
    Publication status: Published in: European Journal of Operational Research 217/2 (2012), 287-299.
    Handle: RePEc:jen:jenjbe:2010-08
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