CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems

by Gayathri S., Remica Aggarwal, V. K. Aggarwal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 33
Year of Publication: 2020
Authors: Gayathri S., Remica Aggarwal, V. K. Aggarwal
10.5120/ijca2020919815

Gayathri S., Remica Aggarwal, V. K. Aggarwal . Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems. International Journal of Computer Applications. 177, 33 ( Jan 2020), 35-42. DOI=10.5120/ijca2020919815

@article{ 10.5120/ijca2020919815,
author = { Gayathri S., Remica Aggarwal, V. K. Aggarwal },
title = { Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2020 },
volume = { 177 },
number = { 33 },
month = { Jan },
year = { 2020 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number33/31116-2020919815/ },
doi = { 10.5120/ijca2020919815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:36.509644+05:30
%A Gayathri S.
%A Remica Aggarwal
%A V. K. Aggarwal
%T Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 33
%P 35-42
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Present research focuses on identifying various barriers to bank queuing systems. It thereafter studies the inter-relationship amongst them both by ISM methodology as well as fuzzy ISM methodology. The comparison of approaches is a novel attempt made in the field of bank queuing related research work to the best of author knowledge.

References
  1. Murthy, M.S.R , Pushpha Lata, M. 2014. Minimizing the Waiting Time at Bank ATM for Service with Queuing Model Research Paper, 3(1) .
  2. Sheikh, T., Singh, S.K. , Kashyap, A.K. 2013. Application of Queuing theory for the Improvement of Bank Service International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106. 1(4).
  3. Bajpai, P. and Maneesha . 2013. Measure of Performance of Queuing Models and Behavior of Customers in Real Life Applications International Journal of Applied Physics and Mathematics, 3(5).
  4. Chowdhury, M.S.R, Rahman , M.T. and Kabir, M.R. 2013. Solving of Waiting Lines Models in the Bank Using Queuing Theory Model the Practice Case: Islami Bank Bangladesh Limited, Chawkbazar Branch, Chittagong IOSR Journal of Business and Management (IOSR-JBM) , 10(1), 22-29.
  5. S. A. AL-Jumail . 2011. Automatic Queuing Model for Banking Application(IJACSA) International Journal of Advanced Computer Science and Applications. 2(7).
  6. Hao, T., Yifei , T. 2011. Study on Queuing System Optimization of Bank Based on BPR 2011 3rd International Conference on Environmental Science and Information Application Technology (ESIAT 2011).
  7. Chandraker, R. and Kumar, R. 2013. Analysis of practices for implementation of GSCM in Chhattisgarh Manufacturing Industries (India) using ISM technique, International Journal of Industrial Engineering & Technology (IJIET), 3 (3), 35-44.
  8. Chandraker, R. and Bais, M.S. 2013. Modelling of the factors influencing the phenomenon of bullwhip effect in the seasonal products using ISM technique. Elixir Marketing Mgmt. 62, pp. 17748-17752.
  9. Verma, S. Sridhar. K, Chandraker, R. 2015. Barriers Analysis of Bank Queuing System using ISM and Mic-Mac Approach, International journal of engineering research and technology (IJERT) ISNCESR , 3(20).
  10. Warfield, J. N. 1974. Developing interconnection matrices in structural modeling. IEEE Transactions on System, Man, and Cybernetics, SMC-4 (1), 81-87.
  11. Alex, M.K. 2019. Modeling and Analysis of Queuing Systems in Banks: (A Case Study of Banque Commerciale du Congo-BCDC/Mbujimayi), Université Officielle de Mbujimayi, https://mpra.ub.uni-muenchen.de/92579/MPRA Paper No. 92579.
  12. Christopher M. P. A. & D., D. (1997). Bringing Quality, Customer service and Marketing together. Relationship Marketing. Batter Worth: Heinemann.
  13. F.A, M. 2014. Appliquer le ToC Lean Six Sigma dans les services: Déployer et metre en oeuvre les méthodes et outils d’une relation de service performante et durable. Paris: Lexitis éditions.
  14. Farayibi, A. 2016. Investigating the Application of Queue Theory in the Nigerian Banking System. Munich Personal RePEC Archive , 1-14.
  15. Grace, W. K. 2012. Waiting lines management and customer satisfaction in commercial banks in Kenya. University of Naîrobie .
  16. 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, 7(35), pp. 90-96.
  17. Katz, K. L., Larson, B. M. and Larson , R. C. 1991. Prescriptions for the Waiting in-Line Blues : Entertain, Enlighten and Engage. Sloan Management Review, 32(2).
  18. 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.
  19. Kendall, 1953. Classification of Queuing model..people.revoledu.com/kardi/tutorial/Queuing/Kendall- Notation.html.
Index Terms

Computer Science
Information Sciences

Keywords

Bank Queuing systems Mic- Mac Analysis Fuzzy Mic-Mac Analysis ISM methodology

Powered by PhDFocusTM