Preview

Proceedings of Telecommunication Universities

Advanced search

Chaos Theory Methods for Contact-Center Dinamic Control

https://doi.org/10.31854/1813-324X-2021-7-2-18-23

Abstract

The work is devoted to searching for optimal control methods for contact center, in particular, methods for predicting the load for further calculation of required number of operators. If the number of operators is always more than required, then the owners of the contact center will incur financial losses. If there are too few employees, the quality of service will decline. Predicting the load of the contact center is required in order to bring the optimal number of operators to work in advance. It is proposed to apply chaos theory to predict the incoming load of a contact center. Positive value of the Lyapunov index indicates the chaotic behavior of the input flow of the load. To predict the load, the methods of linear and nonlinear forecasting and the method of global approximation are used. The paper presents the results of comparing these methods for the problem of predicting the incoming load of contact center.

 

Keywords

WFM

About the Authors

A. B. Goldstein
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications; Scientific and Technical Center "ARGUS"
Russian Federation

St. Petersburg, 193232;
St. Petersburg, 197198



S. V. Kislyakov
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications; Scientific and Technical Center "ARGUS"
Russian Federation

St. Petersburg, 193232;
St. Petersburg, 197198



M. A. Fenomenov
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications; Scientific and Technical Center "ARGUS"
Russian Federation

St. Petersburg, 193232;
St. Petersburg, 197198



References

1. General Description of the System WFMCC. Available from: https://argus-wfmcc.ru [Accessed 25th May 2021]

2. Moon F. Chaotic Oscillations. Translate from English. Moscow: Mir Publ.; 1990. 312 p. (in Russ.)

3. Contopoulos G. Highlights of chaos research. 2018. Available from: https://arxiv.org/pdf/1807.09492.pdf [Accessed 7th April 2019]

4. Moon F.C. Chaotic and Fractal Dynamics: Introduction for Applied Scientists and Engineers. New York: Wiley; 1992.

5. Farmer D.J., Sidorowich J.J. Predicting chaotic time series. Physical Review Letters. 1987;59(8):845‒848.

6. Loskutov A. Mathematical Foundations of Chaotic Dynamical Systems: a Course of Lectures. Moscow: Lomonosov Moscow State University Publ.; 2007. 78 p. (in Russ.)

7. Loskutov A.Yu., Mikhailov A.S. Fundamentals of the Theory of Complex Systems. Izhevsk: Institute for Computer Research Publ.; 2007. 620 p. (in Russ.)

8. Oestreicher C. A history of chaos theory. Dialogues Clin Neurosci. 2007;9(3):279–289. DOI:10.31887/DCNS.2007.9.3/coestreicher

9. Fedorov A.Ya., Melentieva T.A., Melentieva M.A. Stochastic dynamics of systems. Fundamental research. 2008;2:112‒113. Available from: http://fundamental-research.ru/ru/article/view?id=2659 [Accessed 31th May 2019]


Review

For citations:


Goldstein A.B., Kislyakov S.V., Fenomenov M.A. Chaos Theory Methods for Contact-Center Dinamic Control. Proceedings of Telecommunication Universities. 2021;7(2):18-23. (In Russ.) https://doi.org/10.31854/1813-324X-2021-7-2-18-23

Views: 647


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1813-324X (Print)
ISSN 2712-8830 (Online)