[Zurück]

S. Biffl, A. Lüder, K. Meixner, F. Rinker, M. Eckhart, D. Winkler:
"Multi-View Model Risk Assessment in Cyber-Physical Production Systems Engineering";
Vortrag: 9th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2021) - Online Conference, Vienna, Austria; 08.02.2021 - 10.02.2021; in: "Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development, Modelswards, Volume 1, MODELSWARD", SCITEPRESS, (2021), ISBN: 978-989-758-487-9.

The engineering of complex, flexible production systems, Cyber Physical Production Systems (CPPSs), requires integrating models across engineering disciplines. A CPPS Engineering Network (CEN), an integrated
multi-domain multi-view model, facilitates the assessment of risks to CPPS and product designs, i.e., risks
stemming from several engineering disciplines. However, traditional risk assessment, e.g., Failure Mode and
Effect Analysis (FMEA), provides informal cause-effect hypotheses, which may be hard to test without interdisciplinary links through the CEN to CPPS data sources. This paper aims to improve the effectiveness of
model-based cause identification and validation for risks to CPPS functions that come from modeling in several CPPS disciplines by introducing the CPPS Risk Assessment (CPPS-RA) approach for representing FMEA
cause-effect hypotheses and linking them to a CEN. These links provide the basis to specify CPPS engineering and operational data required for hypothesis testing. We evaluate the CPPS-RA approach in a feasibility
study on a representative use case from discrete manufacturing. In the study context, domain experts found
the CPPS-RA meta-model sufficiently expressive and the CPPS-RA method useful to validate FMEA results.

Model-Based Risk Assessment, Multi-view Modeling in Systems Engineering, Cyber Physical Systems.

http://dx.doi.org/10.5220/0010224801630170