DDI: A Novel Technology And Innovation Model for Dependable, Collaborative and Autonomous Systems
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Publication date
2021-02Author
Armengaud, E.Schneider, D.
Reich, J.
Sorokos, I.
Papadopoulos, Y.
Zeller, M.
Regan, G.
Macher, G.
Veledar, O.
Thalmann, S.
Kabir, Sohag
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© 2021 IEEE. Reproduced in accordance with the publisher's self-archiving policy.Peer-Reviewed
YesOpen Access status
openAccess
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Digital transformation fundamentally changes established practices in public and private sector. Hence, it represents an opportunity to improve the value creation processes (e.g., “industry 4.0”) and to rethink how to address customers’ needs such as “data-driven business models” and “Mobility-as-a-Service”. Dependable, collaborative and autono-mous systems are playing a central role in this transformation process. Furthermore, the emergence of data-driven approaches combined with autonomous systems will lead to new business models and market dynamics. Innovative approaches to re-organise the value creation ecosystem, to enable distributed engineering of dependable systems and to answer urgent questions such as liability will be required. Consequently, digital transformation requires a comprehensive multi-stakeholder approach which properly balances technology, ecosystem and business innovation. Targets of this paper are (a) to introduce digital transformation and the role of / opportunities provided by autonomous systems, (b) to introduce Digital Depednability Identities (DDI) - a technology for dependability engineering of collaborative, autonomous CPS, and (c) to propose an appropriate agile approach for innovation management based on business model innovation and co-entrepreneurship.Version
Accepted manuscriptCitation
Armengaud E, Schneider D, Reich J et al (2021) DDI: A Novel Technology And Innovation Model for Dependable, Collaborative and Autonomous Systems. 2021 Design, Automation and Test in Europe Conference. 1-5 Feb 2021. Grenoble, France.Link to Version of Record
https://doi.org/10.23919/DATE51398.2021.9474049Type
Conference paperae974a485f413a2113503eed53cd6c53
https://doi.org/10.23919/DATE51398.2021.9474049