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Analysis of a Queueing Model with MAP Arrivals and Heterogeneous Phase-Type Group Services

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  • Srinivas R. Chakravarthy

    (Department of Industrial and Manufacturing Engineering and Mathematics, Kettering University, Flint, MI 48504, USA)

Abstract

Queueing models have proven to be very useful in real-life applications to enable the practitioners to optimize the limited resources to conduct their businesses as well as offer services efficiently. In general, we can group such applications into two sectors: manufacturing and service. These two sectors cover everything we deal with on a day-to-day basis. Queues in which the services are offered in blocks (or groups or batches) are well established in the literature and have a wide variety of applications in practice. In this paper, we look at one such queueing model in which the arrivals occur according to a Markovian arrival process and the services are offered in batches of varying sizes from 1 to a finite pre-determined constant, say, b . The service times are assumed to be of phase type with representation depending on the size of the group. Thus, the distributions considered are heterogeneous from both the representation and rate points of view. The model can be studied as a G I / M / 1 -type queue or as a Q B D -model. The model is analyzed in steady state by establishing results including on the rate matrix and the waiting time distribution and providing a number of illustrative examples.

Suggested Citation

  • Srinivas R. Chakravarthy, 2022. "Analysis of a Queueing Model with MAP Arrivals and Heterogeneous Phase-Type Group Services," Mathematics, MDPI, vol. 10(19), pages 1-30, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3575-:d:930381
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    References listed on IDEAS

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    1. S. R. Chakravarthy & Arunava Maity & U. C. Gupta, 2017. "An ‘(s, S)’ inventory in a queueing system with batch service facility," Annals of Operations Research, Springer, vol. 258(2), pages 263-283, November.
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