Process Mining Techniques in Simulation Model Adequacy Assessment

2019 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2019): Proceedings 2019
Irīna Šitova, Jeļena Pečerska

The research is carried out in the area of model adequacy assessment and analysis of simulation results. The aim of this research is to explore the applicability of process mining techniques for model verification and validation, and results analysis of discrete-event system simulation models. The adequacy assessment of the simulation model is the final stage of its development and has the objective to check the compliance of the model with its research objectives and to assess the reliability and statistical characteristics of the results obtained during the model experiments. In this paper the adequacy of the particular simulation model is checked for compliance with the real system from the point of view of the behaviour. The process mining is considered as a technique for simulated behaviour analysis. The simulation runs provided events lists for event log extraction. Further processing of event log resulted in positive objective conclusion on the investigated model behaviour adequacy, as well as outlined the potential direction to develop the objective adequacy assessment scheme for simulation models.

Keywords
process mining, simulation model adequacy, simulation results analysis
DOI
10.1109/ITMS47855.2019.8940672
Hyperlink
https://ieeexplore.ieee.org/document/8940672

Šitova, I., Pečerska, J. Process Mining Techniques in Simulation Model Adequacy Assessment. In: 2019 60th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2019): Proceedings, Latvia, Riga, 10-11 October, 2019. Piscataway: IEEE, 2019, pp.1-4. ISBN 978-1-7281-5710-8. e-ISBN 978-1-7281-5709-2. Available from: doi:10.1109/ITMS47855.2019.8940672

Publication language
English (en)