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

  • Nils Boysen


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

  • Stefan Bock


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

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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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
Date of revision:
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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  1. Peng Si Ow & Thomas E. Morton, 1989. "The Single Machine Early/Tardy Problem," Management Science, INFORMS, vol. 35(2), pages 177-191, February.
  2. George Li, 1997. "Single machine earliness and tardiness scheduling," European Journal of Operational Research, Elsevier, vol. 96(3), pages 546-558, February.
  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. 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.
  5. 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.
  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. 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.
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