Industry 5.0

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

JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 6, Pages 20-22
Open Accesshttps://doi.org/10.30844/I40M_21-6_S20-22
Bibliography Share Cite Download

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


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).

Your downloads


You might also be interested in

Audio-Immersive Learning in Continuing Vocational Education

Audio-Immersive Learning in Continuing Vocational Education

From linear audio playback to AI-supported conversational learning companions
Tim Beichter, Vanessa Hartmann, Katharina Hölzle ORCID Icon, Manuel Kaiser
Artificial intelligence is increasingly shaping continuing vocational education and training by enabling the personalization of individual learning experiences. At the same time, audio-based learning formats are attracting growing interest among learners because of their flexibility and suitability for workplace learning. However, a conceptual framework for AI-supported audio learning, as well as the potential of combining artificial intelligence with audio-based learning, has received little attention to date. This paper therefore presents a conceptual perspective on the design possibilities and educational potential of AI-supported audio learning formats.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 102-108 | DOI 10.30844/I4SE.26.5.12
Generative AI in Organizational Knowledge Management

Generative AI in Organizational Knowledge Management

AI literacy as a prerequisite for augmentation
Uta Wilkens ORCID Icon, Valentin Langholf ORCID Icon, Niklas Obermann ORCID Icon
Generative Artificial Intelligence (GenAI) offers new opportunities for organizational knowledge management, particularly when it comes to learning processes at the interface between explicit, firm-specific, and tacit knowledge. Its use is therefore of particular interest for application areas such as industrial maintenance. Based on a mechanical engineering case study, this article demonstrates that augmenting both processes and employees with GenAI requires AI literacy combined with professional skills.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 118-126 | DOI 10.30844/I4SE.26.5.14
Explaining AI in Industrial Production in an Accessible Way

Explaining AI in Industrial Production in an Accessible Way

Requirements for AI demonstrators to promote acceptance
Jennifer Link ORCID Icon, Markus Harlacher ORCID Icon, Colin Srebny, Sascha Stowasser ORCID Icon
Artificial intelligence (AI) offers a wide range of possibilities in industrial production, but it also presents challenges regarding employee acceptance. AI demonstrators are therefore of central importance, as they enable hands-on experience with AI. However, there has been a lack of systematically identified requirements for demonstrators that specifically promote acceptance and address negative emotions. Using a multi-stage research design, 69 requirements were identified, structured into functional requirements, quality requirements, and boundary conditions.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 6-14 | DOI 10.30844/I4SE.26.5.1
Work Design in the Use of Autonomous Systems

Work Design in the Use of Autonomous Systems

Addressing the shortage of skilled workers
Tim Jeske ORCID Icon, Sascha Stowasser ORCID Icon, Nicole Ottersböck, Sebastian Terstegen, Rasmus Adler ORCID Icon
Companies are increasingly challenged to address shortages of skilled workers while meeting rising demands for productivity, flexibility, and innovation. Because labor supply can only be expanded to a limited extent, there is a growing focus on designing work systems with productivity in mind. Autonomous systems offer significant potential in this regard. Their implementation requires not only technical adjustments but, above all, changes in organization, skills, and work design. This article analyzes empirically grounded change requirements in existing work systems as well as associated economic potential.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 44-50 | DOI 10.30844/I4SE.26.5.5
Foundation Models in Industrial Robotics

Foundation Models in Industrial Robotics

Requirements for AI-supported assistance in production and logistics
Bernd Kuhlenkötter ORCID Icon, Daniel Syniawa ORCID Icon
Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 16-23 | DOI 10.30844/I4SE.26.5.2
AI-Driven Organization as a New Work Paradigm

AI-Driven Organization as a New Work Paradigm

Implications for individual and organizational change
Katharina Hölzle ORCID Icon, Leonie Krauch, Wolfgang Beinhauer ORCID Icon, Carsten Schmidt, Josephine Hofmann ORCID Icon
Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 94-100 | DOI 10.30844/I4SE.26.5.11