The Use of Process Mining in Business Process Simulation Model Construction

Niels Martin (), Benoît Depaire and An Caris

Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2016, vol. 58, issue 1, 73-87

Abstract: The paper focuses on the use of process mining (PM) to support the construction of business process simulation (BPS) models. Given the useful BPS insights that are available in event logs, further research on this topic is required. To provide a solid basis for future work, this paper presents a structured overview of BPS modeling tasks and how PM can support them. As directly related research efforts are scarce, a multitude of research challenges are identified. In an effort to provide suggestions on how these challenges can be tackled, an analysis of PM literature shows that few PM algorithms are directly applicable in a BPS context. Consequently, the results presented in this paper can encourage and guide future research to fundamentally bridge the gap between PM and BPS. Copyright Springer Fachmedien Wiesbaden 2016

Keywords: Business process simulation; Process mining; Event log knowledge; Simulation model construction (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s12599-015-0410-4

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