Development of models of call center with the system of interactive voice response

Authors

  • Олександр Іванович Федюшин Ukrainian Engineering Pedagogics Academy, Str. Universitetskaya 16, Kharkov, Ukraine, 61003, Ukraine https://orcid.org/0000-0002-3600-405X
  • Олексій Іванович Баленко National Technical University «Kharkiv Polytechnic Institute», Str. Frunze 21, Kharkov, Ukraine, 61002, Ukraine https://orcid.org/0000-0002-2314-0984

DOI:

https://doi.org/10.15587/2312-8372.2015.47975

Keywords:

call center, IVR system, simulation model, GPSS World

Abstract

The analysis of literature indicates no serious research of call center, which would take into account the impact of interactive voice response (IVR), but at the same time, experience shows that its introduction significantly affects the operational costs of the system owner.

That is why the development of adequate models of functioning call center is quite urgent task when designing for leading to the improvement of operation and, therefore, reduces the cash costs of their operation.

The work was performed statistical analysis, and the data on the work of the Call-center, a queuing system. IVR system performance was investigated on the developed simulation model in the system GPSS World, experimental studies of developed methods and algorithms are conducted.

Number of calls that were serviced, the percentage of lost calls of operators, histogram average waiting time in the queue at different values of the number of working operators, histogram queue length are obtained. They allow predicting the workload of the Call-center, and calculating based on the number of operators required.

The research results show that changing the length of the IVR only a few seconds significantly affects the quality parameters of call-center such as the percentage of lost or rejected calls, average wait time, average queue length for operators. With increasing served IVR calls that left behind this system, the average call time in the queue and the average queue length to operators significantly reduced, and the simulation model allows tracking statistics module.

Developed and statistical simulation models can be used in the design and operation of call-centers. In the future, it is proposed researching models on the more complex models of call distribution than normal, or exponential.

Author Biographies

Олександр Іванович Федюшин, Ukrainian Engineering Pedagogics Academy, Str. Universitetskaya 16, Kharkov, Ukraine, 61003

Candidate of Technical Science, Associate Professor

Department of radioelectronics and computer system

Олексій Іванович Баленко, National Technical University «Kharkiv Polytechnic Institute», Str. Frunze 21, Kharkov, Ukraine, 61002

Candidate of Technical Science, Associate Professor

Department of computer facilities and programming

References

  1. Gol'dshtein, B. C., Freinkman, V. A. (2002). Call-tsentry i komp'iuternaia telefoniia. SPb.: BHV, 372.
  2. Rosliakov, A. V., Samsonov, M. Yu., Shibaeva, I. V. (2002). Tsentry obsluzhivaniia vyzovov (Call centre). M.: Eko-Trendz, 272.
  3. Zarubin, A. A. (2003). Call- i kontakt-tsentry: evoliutsiia tehnologii i matematicheskih modelei. Vestnik sviazi, 8, 85–88.
  4. Gordon, G. (1961). A General Purpose Systems Simulation Program. Proceedings of the December 12-14, 1961, eastern joint computer conference: computers - key to total systems control on - AFIPS '61 (Eastern). Washington D. C., 87–104. doi:10.1145/1460764.1460768
  5. Boev, V. D. (2004). Modelirovanie sistem. Instrumental'nye sredstva GPSS World. SPb.: BHV-Peterburg, 368.
  6. Borshchiov, A. Ot sistemnoi dinamiki i traditsionnogo IM – k prakticheskim agentnym modeliam: prichiny, tehnologiia, instrumenty. Available: http://www.gpss.ru/paper/borshevarc.pdf
  7. Gulati, S., Malcolm, S. A. (2001). Call Center Scheduling Technology Evaluation Using Simulation. In Proceedings of the 2001 Winter Simulation Conference. New Jersey: Institute of Electrical and Electronics Engineers, Inc, 1438–1442. doi:10.1109/wsc.2001.977467
  8. Koole, G. (2004). The Calculus of Call Center: Server Level Definitions and computations. In: MSON Conference. Endihoven: Vrije Universiteit Amsterdam.
  9. Mandelbaum, A., Sakov, A., Zeltyn, S. (2001). Empirical Analysis of a Call Center. Israel: Technion Israel Institute of Technology.
  10. Mehrotra, V., Fama, J. (2003). Call Center Simulation modeling: Methods, Challenges, and opportunities. Proceedings of the 2003 International Conference on Machine Learning and Cybernetics, Vol. 1, 135–143. doi:10.1109/wsc.2003.1261416
  11. Bapat, V., Pruitte, E. B. (1999). Using Simulation in Call Centers. In: Proceedings of the 1999 Winter Simulation Conference. New Jersey: Institute of Electrical and Electronics Engineers, Inc., 1395–1399. doi:10.1109/wsc.1998.746007

Published

2015-07-23

How to Cite

Федюшин, О. І., & Баленко, О. І. (2015). Development of models of call center with the system of interactive voice response. Technology Audit and Production Reserves, 4(3(24), 4–12. https://doi.org/10.15587/2312-8372.2015.47975

Issue

Section

Mathematical Modeling: Original Research