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Computational Procedure for System Length and Waiting-time Distribution in an $$M^{X}/D/c/N$$ M X / D / c / N Queue

Author

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  • Sitaram Barik

    (Indian Institute of Technology Bhubaneswar)

  • Abhijit Datta Banik

    (Indian Institute of Technology Bhubaneswar)

  • Mohan L. Chaudhry

    (Royal Military College of Canada)

  • Saroja Kumar Singh

    (Ravenshaw University)

Abstract

In this paper, we discuss a finite-buffer and multi-server queue wherein a batch of customers of random size arrive according to a Poisson process. Service time follows the deterministic distribution, and the queue capacity is N, excluding the number of customers with the servers. The probability generating function (pgf) of queue-length and system-length distribution at a random epoch has been derived using embedded Markov chain. The Laplace-Stieltjes transform (LST) of the waiting time of a random customer in a batch has been derived using the LST of the waiting time of the first customer of a batch. We also derive the probability density function (pdf) for the waiting-time distribution of a random customer in a batch. Performance measures, like mean queue length, mean waiting time, and the probability of blocking have been obtained. Such queueing systems find applications in the performance analysis of communication, manufacturing, and transportation systems.

Suggested Citation

  • Sitaram Barik & Abhijit Datta Banik & Mohan L. Chaudhry & Saroja Kumar Singh, 2025. "Computational Procedure for System Length and Waiting-time Distribution in an $$M^{X}/D/c/N$$ M X / D / c / N Queue," Indian Journal of Pure and Applied Mathematics, Springer, vol. 56(3), pages 973-988, September.
  • Handle: RePEc:spr:indpam:v:56:y:2025:i:3:d:10.1007_s13226-025-00814-5
    DOI: 10.1007/s13226-025-00814-5
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    References listed on IDEAS

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    1. Achyutha Krishnamoorthy & Anu Nuthan Joshua & Vladimir Vishnevsky, 2021. "Analysis of a k -Stage Bulk Service Queuing System with Accessible Batches for Service," Mathematics, MDPI, vol. 9(5), pages 1-16, March.
    2. A. Banik & U. Gupta, 2007. "Analyzing the finite buffer batch arrival queue under Markovian service process: GI X /MSP/1/N," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 146-160, July.
    3. Mohan Chaudhry & Abhijit Datta Banik & Sitaram Barik & Veena Goswami, 2023. "A Novel Computational Procedure for the Waiting-Time Distribution (In the Queue) for Bulk-Service Finite-Buffer Queues with Poisson Input," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    4. J. J. Kim & M. L. Chaudhry & V. Goswami & A. D. Banik, 2021. "A New and Pragmatic Approach to the GIX/Geo/c/N Queues Using Roots," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 273-289, March.
    5. Nobel, R. D., 1989. "Practical approximations for finite-buffer queueing models with batch arrivals," European Journal of Operational Research, Elsevier, vol. 38(1), pages 44-55, January.
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