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A Practical Scheduling Method for Multiclass Production Systems with Setups

Author

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  • Tava Lennon Olsen

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117)

Abstract

Consider a multiclass production system where many job classes share a single server and a setup time is incurred whenever the server changes class. This paper presents a simple method for scheduling these systems that performs well, not only with respect to mean waiting time, but also with respect to waiting-time variance and the outer percentiles of waiting time. The scheduling method is dynamic and uses the ages of items in each queue, as well as the queue statistics, to decide which queue to service next.

Suggested Citation

  • Tava Lennon Olsen, 1999. "A Practical Scheduling Method for Multiclass Production Systems with Setups," Management Science, INFORMS, vol. 45(1), pages 116-130, January.
    • Handle: RePEc:inm:ormnsc:v:45:y:1999:i:1:p:116-130
    DOI: 10.1287/mnsc.45.1.116
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    References listed on IDEAS

    as
    1. Martin I. Reiman & Lawrence M. Wein, 1998. "Dynamic Scheduling of a Two-Class Queue with Setups," Operations Research, INFORMS, vol. 46(4), pages 532-547, August.
    2. Sunder Kekre & Kannan Srinivasan, 1990. "Broader Product Line: A Necessity to Achieve Success?," Management Science, INFORMS, vol. 36(10), pages 1216-1232, October.
    3. S. W. Fuhrmann & Robert B. Cooper, 1985. "Stochastic Decompositions in the M / G /1 Queue with Generalized Vacations," Operations Research, INFORMS, vol. 33(5), pages 1117-1129, October.
    4. Izak Duenyas & Mark P. Van Oyen, 1996. "Heuristic Scheduling of Parallel Heterogeneous Queues with Set-Ups," Management Science, INFORMS, vol. 42(6), pages 814-829, June.
    5. Scott Webster & Kenneth R. Baker, 1995. "Scheduling Groups of Jobs on a Single Machine," Operations Research, INFORMS, vol. 43(4), pages 692-703, August.
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    Cited by:

    1. Grasman, Scott E. & Olsen, Tava Lennon & Birge, John R., 2005. "Finite buffer polling models with routing," European Journal of Operational Research, Elsevier, vol. 165(3), pages 794-809, September.
    2. Kyle Y. Lin & Moshe Kress & Roberto Szechtman, 2009. "Scheduling policies for an antiterrorist surveillance system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 113-126, March.
    3. Wei-Min Lan & Tava Lennon Olsen, 2006. "Multiproduct Systems with Both Setup Times and Costs: Fluid Bounds and Schedules," Operations Research, INFORMS, vol. 54(3), pages 505-522, June.

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