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Control Loop Model of Virtual Company in BPM Simulation

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 188)

Abstract

The motivation of the paper is to introduce agent-based technology in the business process simulation. As in other cases, such simulation needs sufficient input data. However, in the case of business systems, real business data are not always available. Therefore, multi-agent systems often operate with randomly (resp. pseudo randomly) generated parameters. This method can also represent unpredictable phenomena. The core of the paper is to introduce the control loop model methodology in JADE business process simulation implementation. At the end of this paper the analysis of agent-based simulation outputs through process mining methods and methods for analysis of agents’ behavior in order to verify the correctness of used methodology is presented. The business process simulation inputs are randomly generated using the normal distribution. The results obtained show that using random number generation function with normal distribution can lead to the correct output data and therefore can be used to simulate real business processes.

Keywords

  • Business Process
  • Multiagent System
  • Dynamic Time Warping
  • Business Process Management
  • Sales Representative

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Roman Šperka .

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Šperka, R., Spišák, M., Slaninová, K., Martinovič, J., Dráždilová, P. (2013). Control Loop Model of Virtual Company in BPM Simulation. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_53

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

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