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Scheduling Just-in-Time Part Supply for Mixed-Model Assembly Lines

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Author Info

  • Nils Boysen

    ()
    (Friedrich-Schiller-Universität Jena, Lehrstuhl für Operations Management)

  • Stefan Bock

    ()
    (Bergische Universität Wuppertal, Lehrstuhl für Wirtschaftsinformatik und Operations Research)

Abstract

With increasing cost competition and product variety, providing an efficient Just-in-Time (JIT) supply has become one of the greatest challenges in the use of mixed-model assembly line production systems. In the present paper, therefore, we propose a new approach for scheduling JIT part supply from a central storage center. Usually, materials are stored in boxes that are allotted to the consumptive stations of the line by forklift. For such a real-world problem, a new model, a complexity proof as well as different exact and heuristic solution procedures are provided. Furthermore, at the interface between logistics and assembly operations, strategic management implications are obtained. Speci?cally, basing on the new approach, it is the first time a statistical analysis is being made as to whether widespread Level Scheduling policies, which are well-known from the Toyota Production System, indeed facilitate material supply. Note that in literature it is frequently claimed that this causality exists.

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File URL: http://dx.doi.org/10.1016/j.ejor.2010.10.029
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Bibliographic Info

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 01/2010.

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Date of creation: 03 Feb 2010
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Publication status: Published in: European Journal of Operational Research (in press) (2010), doi:10.1016/j.ejor.2010.10.029.
Handle: RePEc:jen:jenjbe:2010-01

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Related research

Keywords: Scheduling; Mixed-model assembly line; Just-in-Time; In-house Logistics;

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References

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  1. Nils Boysen & Malte Fliedner & Armin Scholl, 2007. "Sequencing mixed-model assembly lines: Survey, classification and model critique," Jena Research Papers in Business and Economics - Working and Discussion Papers 02/2007, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  2. Robert L. Carraway & Robert L. Schmidt, 1991. "Note---An Improved Discrete Dynamic Programming Algorithm for Allocating Resources Among Interdependent Projects," Management Science, INFORMS, vol. 37(9), pages 1195-1200, September.
  3. Kubiak, Wieslaw, 1993. "Minimizing variation of production rates in just-in-time systems: A survey," European Journal of Operational Research, Elsevier, vol. 66(3), pages 259-271, May.
  4. George Li, 1997. "Single machine earliness and tardiness scheduling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 546-558, February.
  5. Battini, Daria & Faccio, Maurizio & Persona, Alessandro & Sgarbossa, Fabio, 2009. "Design of the optimal feeding policy in an assembly system," International Journal of Production Economics, Elsevier, vol. 121(1), pages 233-254, September.
  6. Peng Si Ow & Thomas E. Morton, 1989. "The Single Machine Early/Tardy Problem," Management Science, INFORMS, vol. 35(2), pages 177-191, February.
  7. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2007. "A classification of assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 183(2), pages 674-693, December.
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Cited by:
  1. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.

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