ABSTRACT
This work estimates the length of
time a customer is likely to spend on a queue, the arrival and the service rate
of the system. The data analyzed were collected from UBA, 1 Factory Road
Branch, Umuahia. The data on arrival time, service time and inter-arrival were
tested to determine which distribution they follow in order to identify the
queue model for the data. The results obtained show service rate is 0.1823 and
arrival rate is 0.3745. Based on the results of the analysis, model (M!M/S) was
adopted. The performance measure of the model shows that the probability that
customer has to wait is 0.47, the probability that servers are idle is 0.103,
average number of customer waiting to be served is 1.026, the average time a
customer spends in the queue is 8 minutes.
CHILAXA, O (2021). A Statistical Analysis Of Queuing System (A Case Study Of United Bank For Africa) . Mouau.afribary.org: Retrieved Nov 17, 2024, from https://repository.mouau.edu.ng/work/view/a-statistical-analysis-of-queuing-system-a-case-study-of-united-bank-for-africa-7-2
ONYINYECHI, CHILAXA. "A Statistical Analysis Of Queuing System (A Case Study Of United Bank For Africa) " Mouau.afribary.org. Mouau.afribary.org, 05 Aug. 2021, https://repository.mouau.edu.ng/work/view/a-statistical-analysis-of-queuing-system-a-case-study-of-united-bank-for-africa-7-2. Accessed 17 Nov. 2024.
ONYINYECHI, CHILAXA. "A Statistical Analysis Of Queuing System (A Case Study Of United Bank For Africa) ". Mouau.afribary.org, Mouau.afribary.org, 05 Aug. 2021. Web. 17 Nov. 2024. < https://repository.mouau.edu.ng/work/view/a-statistical-analysis-of-queuing-system-a-case-study-of-united-bank-for-africa-7-2 >.
ONYINYECHI, CHILAXA. "A Statistical Analysis Of Queuing System (A Case Study Of United Bank For Africa) " Mouau.afribary.org (2021). Accessed 17 Nov. 2024. https://repository.mouau.edu.ng/work/view/a-statistical-analysis-of-queuing-system-a-case-study-of-united-bank-for-africa-7-2