Industry 5.0

The European Commission on the trail of the next industrial revolution?

David Bendig, Kevin Lau, Julian Schulte, Stefan Endriß
JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 6, Pages 20-22
Open Accesshttps://doi.org/10.30844/I40M_21-6_S20-22
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Abstract

Managers are still facing significant challenges in implementing Industry 4.0 technologies and many companies have not gone beyond their initial Industry 4.0 lighthouse project to date. In the midst of this ongoing transformation, the European Commission published a white paper in January 2021 dealing with the “Industry 5.0 concept”. This paper investigates the term “Industry 5.0” with regard to the contribution of the European Commission and illustrates the connection with current Industry 4.0 initiatives.

Keywords

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Bibliography

[1] McKinsey & Company: COVID-19: An Inflection Point for Industry 4.0. URL: www.mckinsey.com/business-functions/operations/ourinsights/covid-19-an-in-flection-point-for-industry-40, Abrufdatum 16.06.2021.
[2] EuropeanCommission: Industry 5.0: Towards a Sustainable, Human-Centric and Resilient European Industry. URL: op.europa.eu/en/publication-detail/-/publication/468a892a-5097-11eb-b59f-01aa75ed71a1/, Abrufdatum 16.06.2021.
[3] Kagermann, H.; Wahlster, W.; Helbig, J.: Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0: Abschlussbericht des Arbeitskreises Industrie 4.0. URL: www.acatech.de/publikation/umsetzungsempfehlungen-fuer-das-zukunftsprojekt-industrie-4-0-abschlussbericht-des-arbeitskreises-industrie-4-0/, Abrufdatum 03.10.2021.
[4] Europäische Kommission: Die Kommission ebnet den Weg für die Digitalisierung der europäischen Industrie. URL: ec.europa.eu/commission/presscorner/detail/de/IP_16_1407, Abrufdatum 03.10.2021.
[5] Gotfredsen, S.: Bringing Back the Human Touch: Industry 5.0 Concept Creating Factories of the Future. In: Manufacturers’ Monthly. S. 34-35 (2016).
[6] Østergaard,E.:Welcome to Industry 5.0: The “Human Touch” Revolution Is Now Underway. In: Quality 58 (5), S. 36-39 (2019).
[7] Chakraborty, P.: Industry 5.0 Already on the Horizon. In: Dataquest 38 (8), S. 42-44 (2020).
[8] Rampersad,G.:Robot Will Take Your Job: Innovation for an Era of Artificial Intelligence. In: Journal of Business Research 116, S. 68-74 (2020).
[9] Nahavandi,S.:Industry 5.0: A Human-Centric Solution. In: Sustainability 1 (16), S. 4371 (2019).
[10] Demir, K. A.; Döven, G.; Sezen, B.: Industry 5.0 and Human-Robot Co-Working. In: Procedia Computer Science 158, S. 688-695 (2019).
[11] Javaid, M. u. a.: Industry 5.0: Potential Applications in COVID-19. In: Journal of Industrial Integration and Management 5 (4), S. 507-530 (2020).
[12] Lasi, H. u. a.: Industry 4.0. In: Business & Information Systems Engineering 6, S. 239-242 (2014).
[13] Richter, A. u. a.: Digital Work Design: The Interplay of Human and Computer in Future Work Practices as an Interdisciplinary (Grand) Challenge). In: Business & Information Systems Engineering 60 (3), S. 259-264 (2018).
[14] Ardanza, A. u. a.: Sustainable and Flexible Industrial Human Machine Interfaces to Support Adaptable Applications in the Industry 4.0 Paradigm. In: International Journal of Production Research 57 (12), S. 4045- 4059 (2019).
[15] Lopes De Sousa Jabbour, A. B. u. a.: Industry 4.0 and the Circular Economy: A Proposed Research Agenda and Original Roadmap for Sustainable Operations. In: Annals of Operations Research 270, S. 273-286 (2018).
[16] Machado, C. G.; Winroth, M. G.; Ribeiro da Silva, E. H. D.: Sustainable Manufacturing in Industry 4.0: An Emerging Research Agenda. In: International Journal of Production Research 58 (5), S. 1462-1484 (2019).
[17] Ralston, P.; Blackhurst, J.: Industry 4.0 and Resilience in the Supply Chain: A Driver of Capability Enhancement or Capability Loss? In: International Journal of Production Research 58 (16) 16, S. 5006-5019 (2020).
[18] Ivanov, D.; Dolgui, A.; Sokolov, B.: The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics. In: International Journal of Production Research 57 (3), S. 829-846 (2028).
[19] Döring, S.; Wimmer, B.: explainIT: Industrie 4.0 erklärt: URL: muenchen.digital/blog/explainit-industrie-4-0-erklaert, Abrufdatum 16.06.2021.
[20] Kiel, D. u. a.: Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. In: International Journal of Innovation Management 21 (8), 1740015 (2017).

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