Volume 67 | Issue 7 | Year 2021 | Article Id. IJMTT-V67I7P506 | DOI : https://doi.org/10.14445/22315373/IJMTT-V67I7P506
Agriculture sector, being the sublime of the Indian economy, has been the second largest contributor to Indian GDP. In the midst of COVID-19, farmers have made a major contribution towards mankind by assuring food security during this situation. To help farmers in advance farming, agricultural loans are provided to farmers to fulfil their requirement. In this view, a field experiment was conducted at Union Bank of India, Kandali, Hassan district, India by using queueing theory technique to improve customer service. Various performance measures were determined to reduce the waiting time and improve efficiency of the server. The data was collected for a period of one and half month through direct observation. In this study, a multi-server queue which follows Poisson process with First in First Out (FIFO) queue discipline was used. An analysis of the queueing system at the bank reveals that the existing system can be upgraded to help the farmers in availing loan by adding extra service point to the system.
[1] Adedoyin. S. I, Alawaye. A. I. & Taofeek-Ibrahim. F. A., Application of queuing theory to the congestion problem in banking sector (A case study of First Bank Plc. Ilorin), International Journal of Advanced Research in Computer Science & Technology, 2 (2) (2014) 357–360.
[2] Adedoyin, Samuel Adeyemi, Amiens, Ernest Oseghale., Service delivery using Queueing theory, African Journal of Management, 5(2) (2020) 73-88.
[3] Akinnuli. B. O., & Olugbade. T. O., Application of queue model for performance assessment of multi-channel multi-servers motor spirit filling station , International Journal of Engineering and Innovative Technology., 3 (7) (2014) 74–81.
[4] Bannerman. J. N. B., Queuing System in Banks: A case study at Ghana Commercial Bank, Harper Road, Kumasi. Kwame Nkrumah University of Science and Technology, (2014).
[5] Chuka. C. E., Ezeliora. C. D, Okoye. U. P. & Obiafudo. O. J., Analysis of a queuing system in an organisation (a case study of First Bank Plc, Nigeria), American Journal of Engineering Research (AJER), 3 (2) (2014) 67–72.
[6] Erlang. A.K, The theory of probabilities and Telephone conversation, Nyt Jindsskri math, B 20 (1909) 33-39.
[7] Ezeliora, C. D., Ogunoh, A. V., Umeh, M. N., & Mbeledeogu, N. N., Analysis of queuing system using single-line multiple servers system: A case study Of Shoprite Plaza Enugu State, Nigeria, International Journal of Scientific & Technology Research, 3 (3) (2014) 364–374.
[8] H. Xiao and G. Zhang., The queuing theory application in bank service optimization, International Conference on Logistics Systems and Intelligent Management, 2 (2010) 1097-1100.
[9] Oluwaseun, O. A., & Adesina, A. S., Queuing in the University System , Applied Mathematics, 8 (2), 30-32.
[10] Shanmugasundaram, S., & Banumathi, P., A simulation study on M/M/C queueing models, International Journal for Research in Mathematics and Mathematical Sciences, 2 (2) (2016) 52–61.
[11] Shanmugasundaram, S., & Umarani, P., Queuing theory applied in our day to day life. International Journal of Scientific & Engineering Research, , 6 (4) (2015) 533– 541.
[12] Sharma, J. K. Operations Research: Theory and Application, 3rd Ed. (Macmillan Ltd.,) India (2007).
[13] Sundarapandian, V., 7. Queuing Theory". Probability, Statistics and Queuing Theory, (2009), PHI Learning. ISBN 8120338448.
[14] X. Pei., An Application of OR and IE Technology in Bank Service System Improvement, Proc. International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE Conference Publications, Dec. (2008) 638-642.
Anitha Kiran, Dr. Karabi Sikdar, "Modelling and Analysis of Queueing System: A Heuristic Approach in an Agricultural Development Bank," International Journal of Mathematics Trends and Technology (IJMTT), vol. 67, no. 7, pp. 48-55, 2021. Crossref, https://doi.org/10.14445/22315373/IJMTT-V67I7P506