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The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives

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  • Dmitry Ivanov

Abstract

Industry 5.0 is a combination of organisational principles and technologies to design and manage operations and supply chains as resilient, sustainable, and human-centric systems. While the general notion of Industry 5.0 has been elaborated, its implications for future operations and supply chains remain underexplored. This paper contributes to the conceptualisation of Industry 5.0 from the perspective of viability. We contextualise a framework of Industry 5.0 through the lens of the viable supply chain model, the reconfigurable supply chain, and human-centric ecosystems. Our study uncovers the major dimensions that characterise Industry 5.0 as a technological-organisational framework. First, the major technological principles of Industry 5.0 are collaboration, coordination, communication, automation, data analytics processing, and identification. Second, Industry 5.0 covers four areas: organisation, management, technology, and performance assessment. Third, Industry 5.0 spans three levels: society level, network level, and plant level. Last but not least, Industry 5.0 frames a new triple bottom line: resilient value creation, human well-being, and sustainable society. We provide a definition of Industry 5.0 and discuss its implications by elaborating on the understanding of value in Industry 5.0, which spans the dimensions of profit, people, and society. We also discuss open research areas.

Suggested Citation

  • Dmitry Ivanov, 2023. "The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives," International Journal of Production Research, Taylor & Francis Journals, vol. 61(5), pages 1683-1695, March.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:5:p:1683-1695
    DOI: 10.1080/00207543.2022.2118892
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    Citations

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    Cited by:

    1. Liu, Ming & Ding, Yueyu & Chu, Feng & Dolgui, Alexandre & Zheng, Feifeng, 2024. "Robust actions for improving supply chain resilience and viability," Omega, Elsevier, vol. 123(C).
    2. Ibrahim Yitmen & Amjad Almusaed & Sepehr Alizadehsalehi, 2023. "Investigating the Causal Relationships among Enablers of the Construction 5.0 Paradigm: Integration of Operator 5.0 and Society 5.0 with Human-Centricity, Sustainability, and Resilience," Sustainability, MDPI, vol. 15(11), pages 1-25, June.
    3. Zhu, Minghao & Liang, Chen & Yeung, Andy C.L. & Zhou, Honggeng, 2024. "The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies," International Journal of Production Economics, Elsevier, vol. 267(C).
    4. Alejandro M. Martín-Gómez & Alejandro Agote-Garrido & Juan Ramón Lama-Ruiz, 2024. "A Framework for Sustainable Manufacturing: Integrating Industry 4.0 Technologies with Industry 5.0 Values," Sustainability, MDPI, vol. 16(4), pages 1-18, February.
    5. Jie Yu, 2024. "Factors Affecting Return on Assets in the Renewable Energy Sector during Supply Chain Disruptions," JRFM, MDPI, vol. 17(6), pages 1-19, June.
    6. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    7. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    8. Niu, Baozhuang & Ruan, Yiyuan & Xu, Haotao, 2023. "Turn a blind eye? E-tailer's blockchain participation considering upstream competition between copycats and brands," International Journal of Production Economics, Elsevier, vol. 265(C).
    9. Ranasinghe, Thilini & Senanayake, Chanaka D. & Grosse, Eric H., 2024. "Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system," International Journal of Production Economics, Elsevier, vol. 267(C).

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