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

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  • 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.

Suggested Citation

  • Nils Boysen & Stefan Bock, 2010. "Scheduling Just-in-Time Part Supply for Mixed-Model Assembly Lines," Jena Research Papers in Business and Economics - Working and Discussion Papers (Expired!) 01/2010, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  • Handle: RePEc:jen:jenjbe:2010-01
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    File URL: http://dx.doi.org/10.1016/j.ejor.2010.10.029
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    References listed on IDEAS

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    1. George Li, 1997. "Single machine earliness and tardiness scheduling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 546-558, February.
    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. 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.
    4. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2009. "Sequencing mixed-model assembly lines: Survey, classification and model critique," European Journal of Operational Research, Elsevier, vol. 192(2), pages 349-373, January.
    5. Peng Si Ow & Thomas E. Morton, 1989. "The Single Machine Early/Tardy Problem," Management Science, INFORMS, vol. 35(2), pages 177-191, February.
    6. 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.
    7. 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.
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    Cited by:

    1. Boysen, Nils & Emde, Simon & Hoeck, Michael & Kauderer, Markus, 2015. "Part logistics in the automotive industry: Decision problems, literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 242(1), pages 107-120.
    2. 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.

    More about this item

    Keywords

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

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