HEAVY TRAFFIC APPROXIMATION METHODS FOR OPTIMIZING TANDEM MULTISERVER QUEUING SYSTEMS IN ANTENATAL CLINICS

Authors

  • Ifeoma Chizoba Okechukwu
    Caritas University Enugu
  • Ben Ifeanyichukwu Oruh
    Michael Okpara University of Agriculture, Umudike
  • Chukwuemeka O. Omekara
    Michael Okpara University of Agriculture, Umudike
  • Samuel Ugochukwu Enogwe
    Michael Okpara University of Agriculture, Umudike

Keywords:

Heavy traffic approximation methods, Tandem queueing system, Multiserver station, Expected waiting time, Traffic intensity
Dimensions

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Kingman, J. F.C. 1964. The Heavy Traffic Approximation in the Theory of Queues. Proceedings of the Symposium on Congestion Theory.

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Medhi, J. (2003). Stochastic Models in Queueing theory. 2nd Edition, Academic Press, California, USA.

Moon, D. and Shin, Y. (2019). Approximation of Tandem Queues with Blocking. Proceedings of the 8th International Conference on Operations Research and Enterprise Systems (ICORES), 422-428. https://doi.org/10.5220/0007469504220428.

Whitt, W. (1983). The Queueing Network Analyzer. The Bell System Technical Journal. 62(9), 2779-2815.

Whitt, W. (1993). Approximations for the GI/G/m Queue. Production and Operations Management. 2(2), 114-161

Whitt, W. (2002). Stochastic-process limits: an introduction to stochastic-process limits and their application to queues. Springer Series in Operations Research. New York.

World Health Organization (WHO). (2016), 2016 WHO Annual Care Guidelines. www.mcsprogram.org

Wu, K. and McGinnis, L. (2013), Interpolation Approximations for Queues in Series. IIE Transactions, 45, 273290.

Published

30-06-2025

How to Cite

Okechukwu, I. C., Oruh, B. I., Omekara, C. O., & Enogwe, S. U. (2025). HEAVY TRAFFIC APPROXIMATION METHODS FOR OPTIMIZING TANDEM MULTISERVER QUEUING SYSTEMS IN ANTENATAL CLINICS. FUDMA JOURNAL OF SCIENCES, 9(6), 222-227. https://doi.org/10.33003/fjs-2025-0906-3622

Issue

Vol. 9 No. 6 (2025): FUDMA Journal of Sciences - Vol. 9 No. 6

Section

Research Articles
Copyright & Licensing

How to Cite

Okechukwu, I. C., Oruh, B. I., Omekara, C. O., & Enogwe, S. U. (2025). HEAVY TRAFFIC APPROXIMATION METHODS FOR OPTIMIZING TANDEM MULTISERVER QUEUING SYSTEMS IN ANTENATAL CLINICS. FUDMA JOURNAL OF SCIENCES, 9(6), 222-227. https://doi.org/10.33003/fjs-2025-0906-3622

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