International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 9, No. 12, 8 Dec. 2017
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Improving the Serviceability of a Prepaid Autorickshaw Counter using Queuing Model: An Optimization Approach
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Author(s)
Abhishek S. Rao
1,*
Index Terms
M/M/I Single Server Queuing Model, Queuing Theory, Little’s Theorem, Queue Optimization, Prepaid Counter
Abstract
Overcharging the passengers who are not familiar with the city for the services in railway stations and airport is a serious problem which can be addressed by installing prepaid counters. Prepaid counters encounter the problem of higher passenger frequency due to which the waiting time increases. The only alternative solution to this problem is queue formation for effective service. In most of the cases, only one counter for service is available due to which the queue length increases; thereby the passengers may lose patience and move away which may lead to the loss to the counter. In this paper, queuing model is used to solve this real case scenario in an optimal way. The experimental data were obtained from the counter and derived using Little’s Theorem and Single Server Queuing Model (M/M/1). Hence an attempt was made in studying the benefits of queuing model and optimizing it to minimize the waiting time thereby increasing the profit. This approach will help a busy prepaid autorickshaw counter to give service to passengers in a most feasible way.
Cite This Paper
Abhishek S. Rao, "Improving the Serviceability of a Prepaid Autorickshaw Counter using Queuing Model: An Optimization Approach", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.12, pp.19-27, 2017. DOI:10.5815/ijitcs.2017.12.03
Reference
[1]M. Dharmawirya, E. Adi , “Case Study for Restaurant Queuing Model”,International Conference on Management and Artificial Intelligence, IPEDR vol.(6), pp: 52 – 55, 2011.
[2]S. K. Dhar, T. Rahman., “Case Study for Bank ATM Queuing Model”, IOSR Journal of Mathematics. Volume (7), Issue (1), pp 01-05, May. - Jun. 2013.
[3]U. M. Abubakar, S. R. Kabara, U. T. Mustapha, M. G. Musa. “Application of Queuing Model in a Restaurant (A Case Study of Kalinga Restaurant)”, International Journal of Science and Research. Vol(5) ,Issue (11), pp: 388 – 390. November 2016.
[4]W. Agyei, C. Asare-Darko, F. Odilon. “Modeling and Analysis of Queuing Systems in Banks: (A case study of Ghana Commercial Bank Ltd. Kumasi Main Branch)”, International Journal of Scientific & Technology Research, Vol (4), Issue (07), pp 160 – 163, July 2015.
[5]E. S. Kembe, Onah, S. Iorkegh, “A Study of Waiting and Service Costs of a MultiServer Queuing Model in a Specialist Hospital”, International Journal of Scientific & Technology Research, Vol (1), Issue (8), pp 19 – 23, September 2012.
[6]K. Nahar, M. Z. Islam, M. M. Islam. “Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model”, Journal of Modern Science and Technology. Vol (4), Issue (1), pp 144 – 153. September 2016.
[7]H. Vass, K. Z. Szabo. “Application of Queuing Model to Patient Flow in Emergency Department. Case Study”. Procedia Economics and Finance , vol (32) ,pp 479 – 487, 2015.
[8]S. Shanmugasundaram, P. Umarani. “Queuing Theory Applied in our Day to Day Life”. International Journal of Scientific & Engineering Research, Vol( 6) , Issue (4), pp. 533 – 541, April-2015.
[9]A. Sharma, P. B. Barua. “Application of Queuing Theory in a Small Enterprise”. International Journal of Engineering Trends and Technology (IJETT). Vol (27), issue (2),pp 105-110, September 2015..
[10]U. R. Manuel , A. Offiong, ”Application of Queuing Theory to Automated Teller Machine (ATM) facilities using Monte-Carlo Simulation”. International Journal of Engineering Science and Technology (IJEST). vol.(6), isuue (4), April 2014.
[11]B. Patel, P. Bhathawala. “Case Study for Bank ATM Queuing Model”. International Journal of Engineering Research and Applications (IJERA). vol (2) , issue (5), September-October 2012.
[12]M. Marsudi, H. Shafeek. “The Application of Queuing Theory in Multi-Stage Production Line, International Conference on Industrial Engineering and Operations Management, January 2014.
[13]A. Vasumathi A, P. Dhanavanthan. “Application of Simulation Technique in Queuing Model for ATM Facility”. International Journal of Applied Engineering Research. vol (1), Issue (3), 2010.
[14]D.S Hira and P.K. Gupta. “Simulation and Queuing Theory”. Operation Research, 2004.
[15]S. Afrane and A. Appah. “Queuing Theory and the Management of Waiting Time in Hospitals: The Case of Anglo Gold Ashanti Hospital in Ghana”. International Journal of Academic Research in Business and Social Sciences. vol (4), issue (2), February 2014.
[16]A.W. N. Yakubu and U. Najim. “An Application of Queuing Theory to ATM Service Optimization: A Case Study”. Mathematical Theory and Modelling, IISTE. vol (4), issue (6), 2014.
[17]M. S. R. Chowdhury, M. T. Rahman and M. R. Kabir. “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, Vol (10), Issue (1), pp 22-29, May - Jun. 2013.
[18]J. Sztrik. “Queuing Theory and its Applications, A Personal View”. Proceedings of the 8th International Conference on Applied Informatics, vol(1), pp. 9-30, January 2010.
[19]H. Xiao and G. Zhang, “The queuing theory application in bank service optimization”. Institute of Information & System Engineering, Henan University of Finance & Economics, Zhengzhou, 2009.
[20]A. Amin, P. Mehta, A. Sahay, P. Kumar, A. Kumar. “Optimal solution of real time problems using Queueing Theory”. International Journal of Engineering and Innovative Technology (IJEIT), Vol (3), Issue (10), April 2014.
[21]N. Jhala, P. Bhathawala. “Smart Queue Management System for Banking Sector”. International Journal of Business Management and Economics Research. Vol(3), issue (1) , pp. 29-34, 2016.
[22]S.M. Sundari, S.Srinivasan. “M/M/C Queueing Model for Waiting Time of Customers In Bank Sectors”. Int. J. of Mathematical Sciences and Applications. Vol (1), issue (3), September 2011.
[23]M. M. Ahsan, M. R. Islam, M.. Ashikul Alam. Study of Queuing System of a Busy Restaurant and a Proposed Facilitate Queuing. IOSR Journal of Mechanical and Civil Engineering,vol (11), issue (6) ,pp 31-35, Nov –Dec 2014.
[24]M. A, Molla. “Case Study for Shuruchi Restaurant Queuing Model”. IOSR Journal of Business and Management. Vol(19), Issue (2). pp 93-98, Feb 2017.
[25]I. A. Tochukwu, O.O. Moses, “Optimality Test for Multi Server Queuing Model with Homogenous Server in the Out-Patient Department (OPD) of Nigeria Teaching Hospitals, “, I. J. Modern Education and Computer Science, Vol(4), pp:9-17, April 2016. DOI: 10.5815/IJMECS.2016.04.02.
[26]O. D. Ogunwale, O. A. Olubiyi, “A Comparative Analysis of Waiting Time of Customers in Banks, “, Global Journal Of Science Frontier Research, Vol(10), Issue (6), pp: 97-99, October 2010.
[27]S. Toshiba, S. Sanjay Kumar, K. Anil Kumar, “Application of Queuing Theory for the Improvement of Bank Service, “, International Journal of Advanced Computational Engineering and Networking, Vol(1), Issue(4), pp:15-18, June 2013.
[28]I. P. Lade, V. P. Sakhare, M.S. Shelke, P. B. Sawaitul, “Reduction of Waiting Time by using Simulation and Queuing Analysis,”, International Journal on Recent and Innovation trends in Computing and Communication, Vol(3), Issue (2), pp:55-59, February 2015.