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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Published

30-06-2025

How to Cite

HEAVY TRAFFIC APPROXIMATION METHODS FOR OPTIMIZING TANDEM MULTISERVER QUEUING SYSTEMS IN ANTENATAL CLINICS. (2025). FUDMA JOURNAL OF SCIENCES, 9(6), 222-227. https://doi.org/10.33003/fjs-2025-0906-3622

How to Cite

HEAVY TRAFFIC APPROXIMATION METHODS FOR OPTIMIZING TANDEM MULTISERVER QUEUING SYSTEMS IN ANTENATAL CLINICS. (2025). FUDMA JOURNAL OF SCIENCES, 9(6), 222-227. https://doi.org/10.33003/fjs-2025-0906-3622

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