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.

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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
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article

Classification and Evaluation of the Integration of Process Mining and Digital Twins: A Roadmap

Steffen Ihlenfeldt, Maxi Grobis, Sven Solterbeck, Oliver Kempf
1 citations
Procedia CIRP
Digital Transformation in Industry
1.24
article

Classification and Evaluation of the Integration of Process Mining and Digital Twins: A Roadmap

Steffen Ihlenfeldt, Maxi Grobis, Sven Solterbeck, Oliver Kempf
article en
1 citations

Abstract

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.

Procedia CIRPVol. 134
École nationale des ponts et chaussées (FR), Fraunhofer Institute for Machine Tools and Forming Technology (DE), Technische Universität Dresden (DE)
Openalex Percentile: Top 18%
Digital Transformation in Industry
1.24
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