We are on the brink of another industrial transformation - one that builds upon the digital foundations of Industry 4.0 and reaches new heights with the emergence of Industry 5.0. Unlike its predecessor, which focused heavily on automation, cyber-physical systems, and the Internet of Things, Industry 5.0 shifts the paradigm toward human-centered solutions, blending the power of cutting-edge technologies with human creativity, expertise, and ethical considerations. This evolution is not merely technological; it is social and economic, reshaping how we live, work, and interact with our environment.
The convergence of advanced artificial intelligence, robotics, 3D printing, and the Internet of Things is now being augmented with a renewed focus on collaboration between humans and machines. This human-machine synergy unlocks new potential in industries ranging from manufacturing to healthcare, from energy to education, as intelligent systems learn to complement, rather than replace, human ingenuity. The aim of Industry 5.0 is not only to enhance productivity but to create a more sustainable, ethical, and personalized approach to industrial processes.
Industry 5.0: Design, standards, techniques and applications for manufacturing provides a comprehensive exploration of the key components that define this new industrial era. It is designed to serve as a foundational guide for engineers, designers, researchers, and policymakers who seek to understand and contribute to the future of Industry 5.0. Through an examination of its applications, innovative designs, emerging standards, and the latest techniques, this work offers a critical resource for those striving to navigate the complex yet exciting landscape of this revolution.
Reihe
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 29 mm
Gewicht
ISBN-13
978-1-83724-009-8 (9781837240098)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Wai Yie Leong is a senior professor at INTI International University, Malaysia. Wai Yie is the past chairperson of IET Malaysia Local Network, council member of IET UK and vice president of the Institution of Engineers Malaysia (IEM). She received her PhD in Electrical Engineering from The University of Queensland, Australia. She specialises in medical signal processing, industrial revolution 4.0 technology, 5G and telecommunications.
Herausgeber*in
Senior ProfessorINTI International University, Malaysia
Chapter 1: Introduction to Industry Revolution 5.0 - current and future systems, features and benefits
Chapter 2: Challenges and impact of Industry 5.0
Chapter 3: Leading the Industry Revolution 5.0 transformation: a technology roadmap for Industry Revolution 5.0
Chapter 4: Industry 5.0 and digital transformation for Malaysia construction industry
Chapter 5: Insights from Industry 5.0 on the cultivation of engineering talent based on industrial needs
Chapter 6: Medical equipment engineering in Industrial 5.0
Chapter 7: Revolutionising healthcare through generative AI in Industry 5.0
Chapter 8: Transforming healthcare: the synergy of medical equipment engineering and Industry 5.0 technologies
Chapter 9: Trends for additive manufacturing in the Industry 5.0 era
Chapter 10: Immersive technologies: a new dimension for Industry 5.0
Chapter 11: Engineering education: does Industry 5.0 need Education 5.0?
Chapter 12: An overview of ESG and Industry 5.0 integration in project sustainability
Chapter 13: Carbon emission under Industry 5.0
Chapter 14: BIM risk evaluation for comprehensive management corridor projects
Chapter 15: AI technology drives film industry into the 5.0 era
Chapter 16: Application and contribution of virtual reality technology in education
Chapter 17: Integrating artificial intelligence into pedagogy: theoretical framework and application model of I-TPACK in intelligent education
Chapter 18: Industry 5.0 and personalised education: application of intelligent technology in the optimisation of vocational education resources and improvement of teaching methods
Chapter 19: Employment status analysis and response strategies of students majoring in mechanical manufacturing and automation in vocational colleges under the background of Industry 5.0
Chapter 20: Transforming deep learning-based skin disease detection and classification with AI-based diagnostic framework in the era of Industry 5.0
