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Computing Optimal Policies for Controlled Tandem Queueing Systems

Author

Listed:
  • Katsuhisa Ohno

    (Nagoya Institute of Technology, Nagoya, Japan)

  • Kuniyoshi Ichiki

    (Kobe Steel, Ltd., Kobe, Japan)

Abstract

This paper discusses the use of modified policy iteration algorithms for finding the optimal control for the service rate for a tandem queueing system that has a general cost structure. It compares several variants of the algorithms and shows that the optimal control problem can be solved within a reasonable computation time.

Suggested Citation

  • Katsuhisa Ohno & Kuniyoshi Ichiki, 1987. "Computing Optimal Policies for Controlled Tandem Queueing Systems," Operations Research, INFORMS, vol. 35(1), pages 121-126, February.
    • Handle: RePEc:inm:oropre:v:35:y:1987:i:1:p:121-126
    DOI: 10.1287/opre.35.1.121
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    Citations

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    Cited by:

    1. Herzberg, Meir & Yechiali, Uri, 1996. "A K-step look-ahead analysis of value iteration algorithms for Markov decision processes," European Journal of Operational Research, Elsevier, vol. 88(3), pages 622-636, February.
    2. Ohno, Katsuhisa, 2011. "The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems," European Journal of Operational Research, Elsevier, vol. 213(1), pages 124-133, August.
    3. Subba Rao, S. & Gunasekaran, A. & Goyal, S. K. & Martikainen, T., 1998. "Waiting line model applications in manufacturing," International Journal of Production Economics, Elsevier, vol. 54(1), pages 1-28, January.
    4. Ohno, Katsuhisa & Boh, Toshitaka & Nakade, Koichi & Tamura, Takayoshi, 2016. "New approximate dynamic programming algorithms for large-scale undiscounted Markov decision processes and their application to optimize a production and distribution system," European Journal of Operational Research, Elsevier, vol. 249(1), pages 22-31.

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