Optimization of a Call Centre Performance Using the Stochastic Queueing Models

Abstract Background A call centre usually represents the first contact of a customer with a given company. Therefore, the quality of its service is of key importance. An essential factor of the call centre optimization is the determination of the proper number of operators considering the selected performance measure. Results of previous research show that this can be done using the queueing theory approach. Objectives: The paper presents the practical application of the stochastic queueing models aimed at optimizing a Slovenian telecommunication provider’s call centre. Methods/Approach: The arrival and the service patterns were analysed, and it was concluded that the call centre under consideration can be described using the M/M/r {infinity/infinity/FIFO} queueing model. Results: An appropriate number of operators were determined for different peak periods of the working day, taking into consideration the following four performance measures: the expected waiting time, the expected number of waiting customers, the probability that a calling customer will have to wait, and the call centre service level. Conclusions: The obtained results prove the usefulness and applicability of the queueing models as a tool for a call centre performance optimization. In practice, all the data needed for such a mathematical analysis are usually provided. This paper is aimed at illustrating how such data can be efficiently exploited.

[1]  Tushar Raheja,et al.  Modelling traffic congestion using queuing networks , 2010 .

[2]  David Finkel Brief review: Computer Networks & Systems: Queueing Theory and Performance Evaluation by Thomas Robertazzi (Springer-Verlag, 1990) , 1991, PERV.

[3]  Zeynep Akşin,et al.  The Modern Call Center: A Multi‐Disciplinary Perspective on Operations Management Research , 2007 .

[4]  Attahiru Sule Alfa,et al.  Queueing Theory for Telecommunications - Discrete Time Modelling of a Single Node System , 2010 .

[5]  Katrin Baumgartner,et al.  Computer Networks And Systems Queueing Theory And Performance Evaluation , 2016 .

[6]  H. Tijms A First Course in Stochastic Models , 2003 .

[7]  Avishai Mandelbaum,et al.  Queueing Models of Call Centers: An Introduction , 2002, Ann. Oper. Res..

[8]  Giovanni Giambene,et al.  Queuing Theory and Telecommunications: Networks and Applications , 2005 .

[9]  Avishai Mandelbaum,et al.  Designing a Call Center with Impatient Customers , 2002, Manuf. Serv. Oper. Manag..

[10]  Efthimia Chassioti Queueing models for call centres , 2005 .

[11]  Mike Tanner Practical Queueing Analysis , 1995 .

[12]  Richard J. Boucherie,et al.  Queueing networks : a fundamental approach , 2011 .

[13]  Mariam K. Metry,et al.  Optimal Treatment of Queueing Model for Highway , 2011 .

[14]  Avishai Mandelbaum,et al.  Statistical Analysis of a Telephone Call Center , 2005 .

[15]  Michel Gendreau,et al.  Optimizing daily agent scheduling in a multiskill call center , 2010, Eur. J. Oper. Res..

[16]  Carl M. Harris,et al.  Fundamentals of queueing theory , 1975 .

[17]  Vijay Mehrotra,et al.  Intelligent Procedures for Intra‐Day Updating of Call Center Agent Schedules , 2009 .