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