Industry 5.0: perspectives, concepts, and technologies

Mourtzis, Dimitris; Wang, Lihui

doi:10.1016/b978-0-443-13924-6.00003-x

Manufacturing From Industry 4.0 to Industry 5.0 2024

DOI: 10.1016/b978-0-443-13924-6.00003-x

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Industry 5.0: perspectives, concepts, and technologies

Dimitris Mourtzis,

Lihui Wang

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Cited by 3 publications

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Integration of smart grid with Industry 5.0: Applications, challenges and solutions

khan,

Mazhar,

Shahzad

et al. 2025

Measurement: Energy

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Integration of smart grid with Industry 5.0: Applications, challenges and solutions

khan,

Mazhar,

Shahzad

et al. 2025

Measurement: Energy

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AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning

Miller,

Durlik,

Łobodzińska

et al. 2024

Applied Sciences

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This article delves into the critical integration of domain knowledge into AI/ML systems across various industries, highlighting its importance in developing ethically responsible, effective, and contextually relevant solutions. Through detailed case studies from the healthcare and manufacturing sectors, we explore the challenges, strategies, and successes of this integration. We discuss the evolving role of domain experts and the emerging tools and technologies that facilitate the incorporation of human expertise into AI/ML models. The article forecasts future trends, predicting a more seamless and strategic collaboration between AI/ML and domain expertise. It emphasizes the necessity of this synergy for fostering innovation, ensuring ethical practices, and aligning technological advancements with human values and real-world complexities.

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Towards Human-Centric Manufacturing: Exploring the Role of Human Digital Twins in Industry 5.0

Bucci,

Fani,

Bandinelli

2024

Sustainability

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Human-centricity, a cornerstone of Industry 5.0, emphasizes the central role of human needs and capabilities in the technological landscape of modern manufacturing. As Digital Twins (DTs) become a core technology of Industry 4.0, the evolution towards Human Digital Twins (HDTs) marks a significant shift to enhance human-system integration. HDTs serve as digital replicas that mirror human characteristics directly in system design and performance, facilitating a more nuanced approach to smart manufacturing. This paper addresses the critical need for deeper investigation into HDTs to fully leverage their potential in promoting human-centric manufacturing. Through a comprehensive review, the current state and rapid evolution of HDT frameworks and architectures within Industry 5.0 settings are explored. The enabling technologies that underpin HDTs, their applications across various industrial scenarios, and the challenges in their development are discussed. The analysis not only underscores the importance of HDTs in meeting the diverse needs of workers but also outlines future research directions to further empower individuals within the adaptive and intelligent manufacturing systems shaped by Industry 5.0.

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Industry 5.0: perspectives, concepts, and technologies

Cited by 3 publications

References 47 publications

Integration of smart grid with Industry 5.0: Applications, challenges and solutions

Integration of smart grid with Industry 5.0: Applications, challenges and solutions

AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning

Towards Human-Centric Manufacturing: Exploring the Role of Human Digital Twins in Industry 5.0

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