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Engineering human-focused Industrial Cyber-Physical Systems in Industry 4.0 context

  • The world is increasingly interconnected, and this can also be seen in industry, where an ecosystem of digitalized assets, and humans with appropriate digital interfaces, constantly interact with each other. Digital transformation efforts in the industry rely on Industrial Cyber-Physical Systems that are driven by service-based cooperation among humans and digitalized industrial assets. This implies a radical paradigm change in their engineering and operation, which is focused on the symbiosis of digitalized assets and humans that cohabit a collaboration-driven industrial ecosystem. This work discusses how a digital transformation can effectively be achieved in an industrial ecosystem via a digitalization process performed along the three dimensions of the Reference Architecture Model for Industry 4.0, facilitated by the specification, development and implementation of an Asset Administration Shell. The discussion focus is put on humans and how the digitally transformed industrial environments empower her/his capabilities and interactions. It is also critically pointed out how one should go beyond technology and consider additional aspects. Therefore, it is argued that human-centred efforts in Industry 4.0 (I4.0) should be seen in the larger context of sustainability and circular economy in order to properly consider the interplay of the involved socio-technical dimensions. This article is part of the theme issue ‘Towards symbiotic autonomous systems’.

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Metadaten
Author:Armando Walter ColomboORCiD, Stamatis KarnouskosORCiD, Christoph Hanisch
DOI:https://doi.org/10.1098/rsta.2020.0366
ISSN:1364-503X
Parent Title (English):Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Publisher:The Royal Society
Document Type:Article
Language:English
Year of Completion:2021
Release Date:2025/02/24
Tag:Industrial cyber physical systems; Industry 4.0; industrial ecosystem
Volume:379
Issue:2207
Article Number:20200366
Institute:Fachbereich Technik
Research Focus Area:Industrielle Informatik