Improvement of service quality by reducing waiting time for service

Abstract One of the major concerns of any service organisation is the time customers have to spend waiting for service. As is well known, waiting time depends on a number of quantities, such as the system arrival rate, service rate, type of services, time of the day, and efficiency of the servers. In this paper, we propose a service model appropriate in the Indian banking industry and discuss the effectiveness of various solutions using simulation. The best solution found from the alternatives has been implemented. In this paper, we summarize the efforts and the results thereof.

[1]  Bryan Dodson,et al.  The Weibull Analysis Handbook , 1994 .

[2]  Xiaobing Pei An application of OR and IE technology in bank service system improvement , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[3]  Jin Dong,et al.  Customer-centric optimal resource reconfiguration for service outlets , 2009, 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics.

[4]  Michael P. Wiper,et al.  Bayesian control of the number of servers in a GI /M/c queueing system , 2007 .

[5]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[6]  Zhang Jiantong,et al.  A Study on Implementing Six-Sigma in Banking Service , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[7]  Nico M. van Dijk Making simulation relevant in business: to pool or not to pool? "the benefits of combining queuing and simulation" , 2002, Winter Simulation Conference.

[8]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[9]  Sun Jing,et al.  Application of DMAIC on Service Improvement of Bank Counter , 2006, 2006 International Conference on Service Systems and Service Management.