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Simulation Testing of Aggregate Production Planning Models in an Implementation Methodology

Author

Listed:
  • William B. Lee

    (University of Houston, Texas)

  • Basheer M. Khumawala

    (University of North Carolina, Chapel Hill)

Abstract

The planning of production, inventories, and work force at an aggregate level to respond to fluctuating demands on a production system has received substantial theoretical treatment in the literature for several years. However, widespread implementation of the available analytical techniques has not occurred. The objectives of this research are to explore this implementation problem: (1) by developing a simulation model of an operating firm, (2) by using this simulation to compare the performance of aggregate production planning models, and (3) by formulating a generalized methodology for implementing quantitative planning models into the decision procedures of operating firms.

Suggested Citation

  • William B. Lee & Basheer M. Khumawala, 1974. "Simulation Testing of Aggregate Production Planning Models in an Implementation Methodology," Management Science, INFORMS, vol. 20(6), pages 903-911, February.
    • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:6:p:903-911
    DOI: 10.1287/mnsc.20.6.903
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    Cited by:

    1. Buxey, Geoff, 2003. "Strategy not tactics drives aggregate planning," International Journal of Production Economics, Elsevier, vol. 85(3), pages 331-346, September.
    2. Singhal, Jaya & Singhal, Kalyan, 1996. "Alternate approaches to solving the Holt et al. model and to performing sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 91(1), pages 89-98, May.
    3. Elahi, Mirza M. Lutfe & Rajpurohit, Karthik & Rosenberger, Jay M. & Zaruba, Gergely & Priest, John, 2015. "Optimizing real-time vehicle sequencing of a paint shop conveyor system," Omega, Elsevier, vol. 55(C), pages 61-72.

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