Digital Library

Toward more realistic simulation models using object-centric process mining

• Wil M.P. van der Aalst

(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023

https://doi.org/10.7148/2023-0005

Wil m.p. van der aalst (2023). Toward More Realistic Simulation Models Using Object-Centric Process Mining, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0005

Discrete-event simulation has been around for over half a century with applications in production, healthcare, logistics, transportation, etc. However, it is still challenging to create a reliable simulation model that mimics the actual process well and allows for “what-if” questions. Process mining allows for the automated discovery of stochastic process models using event data extracted from information systems. This technology is one of the key enablers for creating digital shadows and digital twins of operational processes. However, traditional process mining focuses on individual cases (e.g., an order, a patient, or a train) with events just referring to a single object (the case). Therefore, the discipline is moving to Object-Centric Process Mining (OCPM), where events can refer to any number of objects. Based on research on OCPM and the prototypes developed, now also commercial software vendors are embracing OCPM, as illustrated by Celonis Process Sphere, which allows for the discovery and analysis of object-centric process models. We believe that OCPM will help to create much more realistic simulation models. Whereas process discovery is backward-looking, with object-centric simulation models, we can also support forward-looking forms of process mining. Although such techniques still need to be developed, they provide a unique opportunity to create more realistic digital twins of organizations and their processes.