MITEWU KABAMBA, Alex (2019): Modeling and Analysis of Queuing Systems in Banks: (A Case Study of Banque Commerciale du Congo-BCDC/Mbujimayi).
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Abstract
This study examined the application of queue theory in the banking system in Democratic Republic of Congo, with particular reference to BCDC (Banque Commerciale du Congo)/Mbujimayi. The queuing characteristics of the bank were analyzed using a Multi-Server Queuing Model. The obvious implication of customers waiting in long and winding queues could result to prolonged discomfort and economic cost to them; however increasing the service rate will require additional number of tellers which implies extra cost to management. Data for this study was collected at BCDC bank for one week through observations and was formulated as multi-server single line queuing model. The data was analyzed using TORA optimization Software as recommended software for operational research. The performance measures of different queuing systems were evaluated and analyzed. The results of the analysis showed using a six-teller system was better than a five in terms of average waiting time.
Item Type: | MPRA Paper |
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Original Title: | Modeling and Analysis of Queuing Systems in Banks: (A Case Study of Banque Commerciale du Congo-BCDC/Mbujimayi) |
English Title: | Modeling and Analysis of Queuing Systems in Banks: (A Case Study of Banque Commerciale du Congo-BCDC/Mbujimayi) |
Language: | English |
Keywords: | Queue theory, Banking System, Multi-Server Queuing Model, Economic cost, Service rate. |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling G - Financial Economics > G2 - Financial Institutions and Services M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M31 - Marketing |
Item ID: | 92579 |
Depositing User: | Alex MITEWU KABAMBA |
Date Deposited: | 07 Mar 2019 15:23 |
Last Modified: | 26 Sep 2019 10:30 |
References: | BOUGUERRA, R. (2007). Détermination du niveau d’utilisation des modèles des files d’attente comme l’un des méthodes quantitatives dans l’administration, étude de l’hôpital Zahraoui à M’sila. revue des sciences économiques et sciences de la gestion, N° 7. CHRISTOPHER M, P. A., & D., D. (1997). Bringing Quality, Customer service and Marketing together. Relationship Marketing. Batter Worth: Heinemann. F.A, M. (2014). Appliquer le ToC Lean Six Sigma dans les services: Déployer et mettre en oeuvre les méthodes et outils d’une relation de service performante et durable. Paris: Lexitis éditions. FARAYIBI, A. (2016). Investigating the Application of Queue Theory in the Nigerian Banking System. Munich Personal RePEC Archive , 1-14. GRACE, W. K. (2012). Waiting lines management and customer satisfaction in commercial banks in Kenya. YUSUF, M. O., BLESSING, N., & KAZEEM, A. O. (2015). Queuing Theory and Customer Satisfaction : A Review of Performance, Trends and Application in Banking Practice (A Study of First Plc Gwagwalada, Abuja Branch). European Journal of Business and Management, Vol.7, No.35 , 90-96. KATZ, K. L., B. M. LARSON et R. C. LARSON (1991). Prescriptions for the Waiting-in-Line Blues : Entertain, Enlighten and Engage. Sloan Management Review, vol. 32, n° 2. TAYLOR, S. (1995). The effects of filled waiting time and service provider control over the delay on evaluations of service. Journal of Academic Marketing Science, 23(2), 38-48. KENDALL, (1953). Classification of Queuing Model...people.revoledu.com/kardi/tutorial/Queuing/Kendall- Notation.html. STIRLING, E. T. (2001). Queue theory and applications in health care- increased violence inemergency departments Patient. www.nets.nihr.ac.uk/_data/assets/pdf_file/0003/.../FR-08-1204-029.pdf |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/92579 |