Volume 3, Issue 4, December 2018, Page: 81-85
Queuing Theory and Its Application Analysis on Bus Services Using Single Server and Multiple Servers Model
Maryam Abubakar Koko, Department of Business Administration, Usmanu Danfodiyo University, Sokoto, Nigeria
Muhammad Sani Burodo, Department of Business Administration and Management, Federal Polytechnic, Kaura Namoda, Nigeria
Shamsuddeen Suleiman, Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria
Received: Dec. 3, 2018;       Accepted: Dec. 14, 2018;       Published: Jan. 2, 2019
DOI: 10.11648/j.ajomis.20180304.12      View  358      Downloads  64
This research work is based on queuing theory and its application analysis on bus services using single server and multiple servers’ models, a case study of Federal Polytechnic transport system, Kaura Namoda. The aim of this paper is to compare the parameters of single server and multiple servers’ models. Primary data was employed using observation method in the course of conducting this research. The data was analyzed, using manual computations to validate the results. The research revealed that the traffic intensity, average number of customers in the system, average number of customers in the queue, average time spent in the system, Average time spent in the queue of a single server and multiple servers are 0.9355,14.5, 13.5645,0.25, 0.2339 and 0.4677, 1.1974, 0.2619, 0.0206,0.0045 respectively. This therefore indicates that the multiple servers’ model is more efficient than single server model as it minimizes these parameters. It is therefore recommended that the management should provide more school buses in order to reduce the traffic congestion.
Servers, Queue, Service Rate, Arrival Rate, Exponential Distribution and Poisson Distribution
To cite this article
Maryam Abubakar Koko, Muhammad Sani Burodo, Shamsuddeen Suleiman, Queuing Theory and Its Application Analysis on Bus Services Using Single Server and Multiple Servers Model, American Journal of Operations Management and Information Systems. Vol. 3, No. 4, 2018, pp. 81-85. doi: 10.11648/j.ajomis.20180304.12
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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