Abstract
IT service desk is a complex service that IT service company provides to its customers. This article provides a methodology which uses discrete-event simulation to help IT service management to make decision and to plan service strategy. Simulation model considers learning ability of service desk agents and growth of knowledge database of the company. Model shows how the learning curve influences the time development of service desk quality and efficiency. This article promotes using simulation to define quantitative goals for the service desk improvement.
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References
Akhtar, S. and Latif, M., 2010. Exploiting Simulation for Call Centre Optimization. In: Proceedings of the World Congress on Engineering 2010, Vol III, WCE 2010, June 30 - July 2, 2010, London, U.K.
Bartsch, C., Mevius, M. and Oberweis, A., 2012. Simulation environment for IT service support processes: Supporting service providers in estimating service levels for incident management. In: 2nd International Conference on Information, Process, and Knowledge Management, eKNOW 2010, February 10-16, 2010 - St. Maarten, Netherlands, pp. 23-31, DOI: 10.1109/eKNOW.2010.10.
Bhulai, S., Farenhorst-Yuan, T., Heidergott, B. and van der Laan, D., 2012. Optimal balanced control for call centers. Annals of Operations Research, 201(1), pp. 39-62.
Dewey, R. A., 2014. Psychology: An Introduction. [online] Available at: http://www.intropsych.com/index.html, (Chapter 07, Part 3, The Learning Curve), [Accessed 5 June 2014].
Dudin, S. A. and Dudina, O. S., 2013. Help desk center operating model as a two-phase queueing system. Problems of Information Transmission, 49(1), pp. 58-72.
Gans, N., Koole, G. and Mandelbaum, A., 2003. Telephone Call Centers: Tutorial, Review, and Research Prospects. Manufacturing & Service Operations Management. 5(2), pp. 79-141.
Giva, Inc., 2014. Help Desk Staffing Models. [online] Available at: http://www.givainc.com/wp/help-desk-staffing-models-simple-analysis-save-money.cfm?c=wp_hd, [Accessed 4 June 2014].
Gonzalez, L. M., Giachetti, R. E. and Ramirez, G., 2005. Knowledge management-centric help desk: specification and performance evaluation. Decision Support Systems. 40(2), pp. 389–405, DOI: 10.1016/j.dss.2004.04.013.
Gonzalez, L. M., Gonzalez, I., Giachetti, R. and Ramirez, G., 2001. Analysis of Applying Knowledge Management in an Information Technology Call Center. In: Proceedings of the Twelfth Annual Conference of the Production and Operations Management Society, POM-2001, March 30 – April 2, 2001, Orlando FL.
itSMF UK, 2012. An Introductory Overview of ITIL® 2011. [online] London: TSO. Available at: http://www.axelos.com/gempdf/itSMF_An_Introductory_Overview_of_ITIL_V3.pdf/, [Accessed 4 June 2014].
Jäntti, M. and Kalliokoski, J., 2010. Identifying knowledge management challenges in a service desk: A case study. 2nd International Conference on Information, Process, and Knowledge Management, eKNOW 2010, February 10-16, 2010 - St. Maarten, Netherlands, pp. 100-105. DOI: 10.1109/eKNOW.2010.20.
Kelton, W. D., Sadowski, R. P. and Sturrock, D. T., 2004. Simulation with Arena. 3th edition, NewYork: McGraw-Hill.
Koole, G. and Mandelbaum, A., 2002. Queueing models of call centers: An introduction. Annals of Operations Research, 113(1-4), pp. 41-59.
NAQC, 2010. Fundamentals of Call Center Staffing and Technologies. Quality Improvement Initiative (Reynolds, P.). Phoenix, AZ.
Sencer, A. and Ozel, B. B., 2013. A simulation-based decision support system for workforce management in call centers. Simulation, 89(4), pp. 481-497.
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