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

  • 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

References

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Published
2025-06-30
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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