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http://hdl.handle.net/1942/18125
Title: | The use of process mining in a business process simulation context: overview and challenges | Authors: | MARTIN, Niels DEPAIRE, Benoit CARIS, An |
Issue Date: | 2014 | Publisher: | IEEE | Source: | 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. | Keywords: | business process simulation; process mining; event log knowledge; simulation model construction | Document URI: | http://hdl.handle.net/1942/18125 | ISBN: | 9781479945191 | DOI: | 10.1109/CIDM.2014.7008693 | ISI #: | 000381485400053 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2017 vabb 2018 |
Appears in Collections: | Research publications |
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