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D. Winkler, P. Novak, J. Vyskocil, K. Meixner, S. Biffl:
"Industry 4.0 Asset-Based Risk Mitigation for Production Operation";
Talk: 17th IEEE International Conference on Automation Science and Engineering (CASE), Lyon, France; 2021-08-23 - 2021-08-27; in: "Proceedings of the 17th IEEE International Conference on Automation Science and Engineering (CASE)", IEEE, (2021), ISBN: 978-0-7381-2502-2.

During engineering and operation of flexible
robot-based production systems meeting the Industry 4.0 (I40)
paradigm, engineers require guidance to analyze and resolve
issues that may disturb the production process. Challenging
issues stem from causes in several heterogeneous engineering
disciplines. Unfortunately, current risk mitigation guidelines
frequently focus on isolated components and not on risks of the
entire system. This fragmented guidance is hard to apply for
engineers who are not aware of existing dependencies between
components of different types. Therefore, risks in the engineering and operation of I40 components are hard to identify
and mitigate. In this paper, we propose the Industry 4.0 Assetbased Risk Mitigation (I4ARM) approach, providing knowledge
for efficient root cause analysis to non-experts based on (a) a
minimal model for knowledge representation as an I40 asset
network with cause-effect annotations and (b) the I4ARM
method for model building and risk mitigation with structured
guidance. We build on the I40 asset network concept, causeeffect analysis, and decision trees to enable efficient and effective
risk mitigation with structured guidance. I4ARM facilitates
for engineers (a) defining an Industry 4.0 asset network and
relationships, (b) identifying risks, and (c) supporting risk
mitigation. We conceptually evaluate I4ARM for a real-world
I40 use case. The results showed that the I40 Asset Network
with cause-effect relationships and decision trees is usable and
useful both for experienced and novice engineers to efficiently
and systematically mitigate risks in I40 environments.

http://dx.doi.org/10.1109/CASE49439.2021.9551419