Title :
The use of process mining in a business process simulation context: Overview and challenges
Author :
Martin, Nicolas ; Depaire, Benoit ; Caris, An
Author_Institution :
Hasselt Univ., Diepenbeek, Belgium
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 data processing; data mining; BPS model; business process simulation; process mining; Business; Computational modeling; Context; Context modeling; Logic gates; Probability distribution; Schedules; business process simulation; event log knowledge; process mining; simulation model construction;
Conference_Titel :
Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CIDM.2014.7008693