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

Industry 4.0—Progress and Digitalization in Limbo

Industry 4.0—Progress and Digitalization in Limbo

Status of sustainable transformation and digitalization in production engineering
Christian Donhauser ORCID Icon, Daniel Riepl
Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 56-60
Application Potentials of Chinese Knowledge Platforms

Application Potentials of Chinese Knowledge Platforms

Digital platforms for knowledge transfer in research and education
Yunhao Su, Martin Braun ORCID Icon
Knowledge drives innovation, which is why digital platforms are increasingly used for knowledge transfer. The People’s Republic of China (PRC) is a global leader in digitalization and digital platforms are central to Chinese knowledge transfer and innovation systems. This study supplements theoretical concepts of knowledge transfer with empirical findings on the (further) development of relevant knowledge platforms. It examines the influence of specific design features on the functionality and quality of digital knowledge platforms. A literature review identifies seven condensed success criteria. Nine leading Chinese knowledge platforms are categorized based on their transfer logic and functional scope. Online survey participants assess the platform-specific manifestations of the identified criteria and highlight potential and areas for improvement in platform-based knowledge transfer.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 84-93
VR Training for Multimodal Cobot Interaction

VR Training for Multimodal Cobot Interaction

Virtual learning environments for collaborative robots
Christoph S. Zoller, Justus Langer, Kristoffer Waldow ORCID Icon, Merle Meyer, Arnulph Fuhrmann ORCID Icon
The VIRAMM research project is developing and prototyping a VR-based training concept for the integration of collaborative robots (cobots) in assembly-oriented U-cells. Since the benefits of cobots depend heavily on process, layout, and role integration, VIRAMM addresses the previously lacking consistent scenario design for variant comparisons with Key Performance Indicator (KPI)-based evaluation.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 106-112
Decentralized Coordination of AMRs

Decentralized Coordination of AMRs

Regulations for Autonomous Mobile Robots
Manuel Savadogo, Malte Stonis ORCID Icon, Peter Nyhuis ORCID Icon, Jürgen Hupp
The increasing automation of intralogistics requires flexible and resilient control concepts for Autonomous Mobile Robots (AMR). While centralized coordination approaches enable stringent control, they quickly reach their limits in terms of scalability and robustness. This paper therefore presents regulations for the decentralized coordination of AMR within the framework of the ORPHEUS project. The focus is on translating known decentralized decision-making principles into a rule framework tailored to industrial material flow scenarios, addressing both operational task assignment and safety-related conflict situations. ORPHEUS thus makes a significant contribution to the methodological structuring, parameterization, and practical transferability of decentralized coordination logics.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 96-105
Immersive Human Digital Twins for Industry 4.0

Immersive Human Digital Twins for Industry 4.0

Supporting adaptive human-centric production by integrating cognitive and physical states
Tajbeed A. Chowdhury ORCID Icon, Martina Lehser ORCID Icon, Eric Wagner ORCID Icon, Paul Motzki ORCID Icon
The rapid advancement of immersive technologies has created new opportunities to transform human-machine collaboration in industry. This paper presents an immersive platform with a digital twin that combines both physical and cognitive characteristics of human dynamics. By integrating multimodal sensing, human biomechanics, and cognitive state into digital twin technology, the proposed system enhances operational safety and ensures better ergonomics. The main argument is that human digital twins are not only desirable but essential for next-generation industrial systems. We discuss the limitations of existing human modeling approaches, outline the conceptual foundations of human digital twins, and demonstrate their industrial relevance across safety, productivity, ergonomics and sustainability.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 6-13 | DOI 10.30844/I4SE.26.3.1
Digital Twins for Emission Reduction

Digital Twins for Emission Reduction

Ex-ante case study on a pump test bench in industrial production
Felix Bischoff, Ingela Tietze ORCID Icon, Peter Hertweck, Nina van Hasz
Digital twins are frequently referred to as a promising approach for reducing greenhouse gas (GHG) emissions in industrial production; however, robust empirical evidence of their benefits under real-world conditions is largely lacking. In this case study, the emission reduction potential of a digital twin—as a conceptually described target system—is quantified ex-ante via the example of a test bench for hydraulic pumps. To this end, the GHG emissions of the original test plan for the year 2025 are determined based on actual measured energy consumption of the tested pumps and time-resolved grid electricity emission intensities. This is followed by a rule-based rescheduling, in which energy-intensive test processes are shifted to time intervals with lower emissions. The rescheduling takes operational constraints into account so that processes and equipment remain unchanged. The savings potential is determined by comparing the GHG emissions of the reference and the optimized case.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 16-24 | DOI 10.30844/I4SE.26.3.2