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Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines

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  • Caridi, Maria
  • Sianesi, Andrea

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  • Caridi, Maria & Sianesi, Andrea, 2000. "Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines," International Journal of Production Economics, Elsevier, vol. 68(1), pages 29-42, October.
    • Handle: RePEc:eee:proeco:v:68:y:2000:i:1:p:29-42
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    References listed on IDEAS

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    1. Stephen C. Graves, 1982. "Using Lagrangean Techniques to Solve Hierarchical Production Planning Problems," Management Science, INFORMS, vol. 28(3), pages 260-275, March.
    2. John Miltenburg, 1989. "Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems," Management Science, INFORMS, vol. 35(2), pages 192-207, February.
    3. Bautista, J. & Companys, R. & Corominas, A., 1996. "Heuristics and exact algorithms for solving the Monden problem," European Journal of Operational Research, Elsevier, vol. 88(1), pages 101-113, January.
    4. 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.
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    Cited by:

    1. 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.
    2. He, Zhou & Wang, Shouyang & Cheng, T.C.E., 2013. "Competition and evolution in multi-product supply chains: An agent-based retailer model," International Journal of Production Economics, Elsevier, vol. 146(1), pages 325-336.
    3. Becker, Till & Illigen, Christoph & McKelvey, Bill & Hülsmann, Michael & Windt, Katja, 2016. "Using an agent-based neural-network computational model to improve product routing in a logistics facility," International Journal of Production Economics, Elsevier, vol. 174(C), pages 156-167.

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