Publikation
Towards a Model Factory Experimentation Environment for Cyber-Physical Twins
Andreas Emrich; Oliver Gutermuth; Michael Frey; Peter Fettke; Peter Loos
In: Tung Bui (Hrsg.). Proceedings of the 57th Hawaiian International Conference on Systems Science. Hawaii International Conference on System Sciences (HICSS-57), January 3-6, University of Hawai'i, Manoa, HI, USA, 1/2024.
Zusammenfassung
Industry 4.0 has brought about tremendous changes
in equipping machinery and factory setups with sensors
and bridging the gap between the digital and the
physical world. Process mining has proven to be
a valuable tool for analyzing industrial workflows,
gathering models, and checking the conformance
of executions. However, faults that occur seldom
in industrial processes cannot be easily learned by
applying machine learning methods. Explicit nominal
models can help to close this gap. The given approach
shows how nominal product, resource, and process
models can be used in a physical twin environment
to enhance process mining tasks and related error
root cause analysis. In this scenario a model
factory serves as physical twin of a real-life factory.
The paper concludes with a depiction of a potential
proof-of-concept.