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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18125

Title: The use of process mining in a business process simulation context: overview and challenges
Authors: MARTIN, Niels
Issue Date: 2014
Publisher: IEEE
Citation: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings, p. 381-388
Abstract: This paper focuses on the potential of process mining to support the construction of business process simulation (BPS) models. To date, research efforts are scarce and have a rather conceptual nature. Moreover, publications fail to explicit the complex internal structure of a simulation model. The current paper outlines the general structure of a BPS model. Building on these foundations, modeling tasks for the main components of a BPS model are identified. Moreover, the potential value of process mining and the state of the art in literature are discussed. Consequently, a multitude of promising research challenges are identified. In this sense, the current paper can guide future research on the use of process mining in a BPS context.
URI: http://hdl.handle.net/1942/18125
DOI: 10.1109/CIDM.2014.7008693
ISI #: 000381485400053
ISBN: 9781479945191
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
vabb, 2018
Appears in Collections: Research publications

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