Classification and Evaluation of the Integration of Process Mining and Digital Twins: A Roadmap
Process mining has established itself as an essential technique for discovering and analyzing business processes by bringing transparency to complex process landscapes. The application of process mining provides a solid foundation for the further development of digital twins - virtual replicas of real systems that are updated in real-time to generate simulations and improve predictions. The combination of process mining with digital twins necessitates an in-depth exploration of the fundamental aspects of this synergy, particularly to delineate the criteria that constitute a digital process twin or an organizational twin. Currently, there are initial research activities and definitions in this area, characterized by significantly divergent approaches. To address this, the authors developed a concept in the form of a roadmap laying the foundations for a future maturity model and utilized the Reference Architecture Model Industry 4.0 (RAMI 4.0) to systematically evaluate the integration and progress of process mining in connection with digital twins and their characteristics.
Authors
- Steffen Ihlenfeldt (ORCID: https://orcid.org/0000-0002-9258-5178)
- Maxi Grobis
- Sven Solterbeck
- Oliver Kempf
Institutions
- École nationale des ponts et chaussées (FR)
- Fraunhofer Institute for Machine Tools and Forming Technology (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.02.155
- Citations
- 1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.24