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Analysis of Business Process Execution Time with Queueing Theory Models

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Information Technologies and Mathematical Modelling - Queueing Theory and Applications (ITMM 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 638))

Abstract

In the paper an approach to the analysis of business process efficiency is proposed. A method for the estimation of a business process execution time as an important performance measure of business processes efficiency is developed. It represents a combination of queuing networks modelling and simplex algorithm of linear programming. The method allows the calculating of the minimum business processes execution time. A method of optimizing activity of the telecommunication company at a predetermined threshold for the business processes execution time is given. The developed technique was illustrated with an end-to-end business process flow “Request-to-Answer” with initial data close to reality.

The reported study was partially supported by the RFBR, research projects No. 14-07-00090, 15-07-03051, 15-07-03608; Vladimir Potanin Foundation.

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Authors and Affiliations

  1. Department of Applied Probability and Informatics, RUDN University, 6 Miklukho-Maklaya Street, 117198, Moscow, Russian Federation

    Konstantin Samouylov, Yuliya Gaidamaka & Elvira Zaripova

Authors
  1. Konstantin Samouylov
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  2. Yuliya Gaidamaka
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  3. Elvira Zaripova
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Corresponding author

Correspondence to Elvira Zaripova .

Editor information

Editors and Affiliations

  1. Belarusian State University , Minsk, Belarus

    Alexander Dudin

  2. Tomsk State University , Tomsk, Russia

    Alexander Gortsev

  3. Tomsk State University , Tomsk, Russia

    Anatoly Nazarov

  4. Kemerovo State University , Anzhero-Sudzhensk, Russia

    Rafael Yakupov

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Samouylov, K., Gaidamaka, Y., Zaripova, E. (2016). Analysis of Business Process Execution Time with Queueing Theory Models. In: Dudin, A., Gortsev, A., Nazarov, A., Yakupov, R. (eds) Information Technologies and Mathematical Modelling - Queueing Theory and Applications. ITMM 2016. Communications in Computer and Information Science, vol 638. Springer, Cham. https://doi.org/10.1007/978-3-319-44615-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-44615-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44614-1

  • Online ISBN: 978-3-319-44615-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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