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Multiple finite source queueing model with dynamic priority scheduling

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  • Phadhana Tosirisuk
  • Jeya Chandra

Abstract

This article involves the study of a multiple finite source queueing model with a single server and dynamic, nonpreemptive priority service discipline. The input to the queue is comprised of customers from multiple finite sources. The time which the customers spend at the corresponding sources are exponentially distributed. The service times of the customers can follow exponential, Erlang, or hyperexponential probability density function, with the same mean regardless of the class. Using an extension of mean value analysis, a recursive algorithm is developed to obtain approximate values of the mean waiting time in queues for each priority class. The mean number of waiting customers and the server utilization of each priority class can be obtained using the result of this recursive algorithm and Little's formula. Numerical examples are presented to illustrate the methodology. The algorithm developed in this article is validated using simulation.

Suggested Citation

  • Phadhana Tosirisuk & Jeya Chandra, 1990. "Multiple finite source queueing model with dynamic priority scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(3), pages 365-381, June.
  • Handle: RePEc:wly:navres:v:37:y:1990:i:3:p:365-381
    DOI: 10.1002/nav.3800370303
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    References listed on IDEAS

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    1. J. M. Holtzman, 1971. "Bounds for a Dynamic-Priority Queue," Operations Research, INFORMS, vol. 19(2), pages 461-468, April.
    2. James R. Jackson, 1961. "Queues with Dynamic Priority Discipline," Management Science, INFORMS, vol. 8(1), pages 18-34, October.
    3. James R. Jackson, 1962. "Waiting‐time distributions for queues with dynamic priorities," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(1), pages 31-36, March.
    4. James R. Jackson, 1960. "Some problems in queueing with dynamic priorities," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 7(3), pages 235-249, September.
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    Cited by:

    1. Haque, Lani & Armstrong, Michael J., 2007. "A survey of the machine interference problem," European Journal of Operational Research, Elsevier, vol. 179(2), pages 469-482, June.
    2. Seyed M.R. Iravani & Izak Duenyas & Tava Lennon Olsen, 2000. "A Production/Inventory System Subject to Failure with Limited Repair Capacity," Operations Research, INFORMS, vol. 48(6), pages 951-964, December.

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