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Authors: Yuhong Fu 1 ; 2 ; Georg Grossmann 1 ; 2 ; Karamjit Kaur 1 ; 2 ; Matt Selway 1 ; 2 and Markus Stumptner 2

Affiliations: 1 Industrial AI Research Centre, UniSA STEM, University of South Australia, Mawson Lakes Blvd, Mawson Lakes SA 5095, Australia ; 2 Future Energy Exports Cooperative Research Centre (FEnEx CRC), 35 Stirling Highway, Perth WA 6009, Australia

Keyword(s): Risk Modelling, Multi-view Modelling, Multi-level Modelling.

Abstract: The digital transformation driven by the rise of Industry 4.0 leads to an increase use of data standards and information systems for management and decision making. With the emerging of new software ecosystems, industries are facing heterogeneous systems and a lack of interoperability for information including risk information. The lack of interoperability in risk management leads again to a slow and often incorrect information transfer, which affects the timely response to risks. In this paper, we propose a new risk modelling approach that combines existing multi-level modelling and multi-view modelling approaches to structure and hence simplify interoperability.

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Paper citation in several formats:
Fu, Y.; Grossmann, G.; Kaur, K.; Selway, M. and Stumptner, M. (2022). Multi-level Risk Modelling for Interoperability of Risk Information. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - EI2N; ISBN 978-989-758-612-5; ISSN 2184-9285, SciTePress, pages 242-249. DOI: 10.5220/0011562300003329

@conference{ei2n22,
author={Yuhong Fu. and Georg Grossmann. and Karamjit Kaur. and Matt Selway. and Markus Stumptner.},
title={Multi-level Risk Modelling for Interoperability of Risk Information},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - EI2N},
year={2022},
pages={242-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011562300003329},
isbn={978-989-758-612-5},
issn={2184-9285},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - EI2N
TI - Multi-level Risk Modelling for Interoperability of Risk Information
SN - 978-989-758-612-5
IS - 2184-9285
AU - Fu, Y.
AU - Grossmann, G.
AU - Kaur, K.
AU - Selway, M.
AU - Stumptner, M.
PY - 2022
SP - 242
EP - 249
DO - 10.5220/0011562300003329
PB - SciTePress

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