• DocumentCode
    1796728
  • 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
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    381
  • Lastpage
    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 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIDM.2014.7008693
  • Filename
    7008693