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|Title: ||The use of process mining in a business process simulation context: overview and challenges|
|Authors: ||MARTIN, Niels|
|Issue Date: ||2014|
|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.|
|ISI #: ||000381485400053|
|Type: ||Proceedings Paper|
|Validation: ||ecoom, 2017|
|Appears in Collections: ||Research publications|
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