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Authors: Stefan Biffl 1 ; Arndt Lüder 2 ; Kristof Meixner 3 ; Felix Rinker 3 ; Matthias Eckhart 3 and Dietmar Winkler 3

Affiliations: 1 Institute of Information Systems, TU Wien, Vienna, Austria ; 2 Institute of Ergonomics, Manufacturing Systems and Automation, Otto-von-Guericke University, Magdeburg, Germany ; 3 CDL for Security & Quality Improvement in the Production System Lifecycle, TU Wien, Vienna, Austria

Keyword(s): Model-based Risk Assessment, Multi-view Modeling in Systems Engineering, Cyber Physical Systems.

Abstract: 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. (More)

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Paper citation in several formats:
Biffl, S.; Lüder, A.; Meixner, K.; Rinker, F.; Eckhart, M. and Winkler, D. (2021). Multi-view-Model Risk Assessment in Cyber-Physical Production Systems Engineering. In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD, ISBN 978-989-758-487-9; ISSN 2184-4348, pages 163-170. DOI: 10.5220/0010224801630170

@conference{modelsward21,
author={Stefan Biffl. and Arndt Lüder. and Kristof Meixner. and Felix Rinker. and Matthias Eckhart. and Dietmar Winkler.},
title={Multi-view-Model Risk Assessment in Cyber-Physical Production Systems Engineering},
booktitle={Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD,},
year={2021},
pages={163-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010224801630170},
isbn={978-989-758-487-9},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD,
TI - Multi-view-Model Risk Assessment in Cyber-Physical Production Systems Engineering
SN - 978-989-758-487-9
IS - 2184-4348
AU - Biffl, S.
AU - Lüder, A.
AU - Meixner, K.
AU - Rinker, F.
AU - Eckhart, M.
AU - Winkler, D.
PY - 2021
SP - 163
EP - 170
DO - 10.5220/0010224801630170