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O. C. Asogwa1 , C. M. Eze2 , M. T. Edeaja3
Section:Research Paper, Product Type: Isroset-Journal
Vol.4 ,
Issue.11 , pp.1-5, Nov-2018
Online published on Nov 30, 2018
Copyright © O. C. Asogwa, C. M. Eze, M. T. Edeaja . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: O. C. Asogwa, C. M. Eze, M. T. Edeaja, “On The Application of Queuing Model in Nigeria Banking Sector: a Case Study of Zenith Bank Plc, Abakaliki Branch,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.4, Issue.11, pp.1-5, 2018.
MLA Style Citation: O. C. Asogwa, C. M. Eze, M. T. Edeaja "On The Application of Queuing Model in Nigeria Banking Sector: a Case Study of Zenith Bank Plc, Abakaliki Branch." International Journal of Scientific Research in Multidisciplinary Studies 4.11 (2018): 1-5.
APA Style Citation: O. C. Asogwa, C. M. Eze, M. T. Edeaja, (2018). On The Application of Queuing Model in Nigeria Banking Sector: a Case Study of Zenith Bank Plc, Abakaliki Branch. International Journal of Scientific Research in Multidisciplinary Studies , 4(11), 1-5.
BibTex Style Citation:
@article{Asogwa_2018,
author = {O. C. Asogwa, C. M. Eze, M. T. Edeaja},
title = {On The Application of Queuing Model in Nigeria Banking Sector: a Case Study of Zenith Bank Plc, Abakaliki Branch},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {11 2018},
volume = {4},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {1-5},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=926},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=926
TI - On The Application of Queuing Model in Nigeria Banking Sector: a Case Study of Zenith Bank Plc, Abakaliki Branch
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - O. C. Asogwa, C. M. Eze, M. T. Edeaja
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 1-5
IS - 11
VL - 4
SN - 2347-2693
ER -
Abstract :
This study focused on the queuing system in Nigerian banking sector. The sources of data were primary and were collected from Zenith Bank Plc, Abakaliki Branch at the withdrawal section of the banking hall for four days in a period of one month interval. The data were collected based on the arrival pattern and the service pattern of customers. The methodology employed followed by the birth and death Markovian process. The results obtained showed that the arrival rate is 0.2219 and the service rate is 0.1524. However, the probability that the servers are idle is 0.1574 and the cost incurred from waiting is N656.76. Besides, any increment on the number of servers by the bank management will help reduce the time customers spend on queue and also reduce cost incurred from waiting. It was also suggested that the management of the concerned Bank should employ only capable servers as to reduce customers wait on service, that is when the cause of long time taken to serve one customer is not due to network or power supply.
Key-Words / Index Term :
Bank, queue, arrival time, service time, incurred cost
References :
[1] Gross, D. and Harris, C. M. (1985) “Fundamental of Queuing Theory”, 2ndedn. John Wiley, New York..
[2] Erlang A. K. (1909). The Theory of Probabilities and Telephone Conversations.
[3] Ogunsakin, R. E., Babalola, B. T., and Adedara, M. T. (2013). Comparison of Service Delivery by ATM in two Banks: Application of queuing theory. Journal of Mathematics (IOSR). Vol 9, No 3, pp 52 – 56.
[4] Ogbadu and Usman, (2012). Imperatives of Customer Relationship Management in Nigeria Banking Industry. Kuwait Chapter of Arabian Journal of Business and Management Review Vol 2(1), 123-132.
[5] Odunukwe Adaora (2013). Application of Queuing Models to Customers Management in the Banking System (A Case Study of United Bank for Africa, Okpara Avenue Branch Enugu): An unpublished undergraduate project, Caritas University, Enugu state, Nigeria.
[6] Ullah, A. (2014). Sub-Optimization of Bank Queuing System. Qualitative and Quantitative Analysis, Vol. 2 (2), pp. 978– 1047.
[7] Campbell, D. and Frei, F. (2010). Market Heterogeneity and Local Capacity Decisions in Services. Manufacturing & Service Operations Management Research, Vol 5(1), 31-41
[8] Kendall, (1953). Classification of QueuingModel...people.revoledu.com/kardi/tutorial/Queuing/Kendall- Notation.html.
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