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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20472

Title: The use of process mining in business process simulation model construction: structuring the field
Authors: Martin, Niels
Depaire, Benoit
Caris, An
Issue Date: 2016
Citation: Business & Information Systems Engineering, 58 (1), p. 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.
Notes: Martin, N (reprint author), Hasselt Univ, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. niels.martin@uhasselt.be
URI: http://hdl.handle.net/1942/20472
DOI: 10.1007/s12599-015-0410-4
ISI #: 000372965200007
ISSN: 1867-0202
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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