Manufacturing from Industry 4.0 to Industry 5.0
Advances and Applications
- 1st Edition - June 26, 2024
- Imprint: Elsevier
- Editor: Dimitris Mourtzis
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 2 4 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 9 2 3 - 9
Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current i… Read more
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Request a sales quoteManufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii) it discusses the methods and state-of-the-art developments employed in the ongoing digital transformation of companies worldwide to promote more resilient, sustainable, and human-centric smart manufacturing and production networks; and (iii) it outlines a strategic plan for the transition from industry 4.0 to industry 5.0.
Written by an international group of expert scientists, this volume offers an overview of the most recent research in the field and provides actionable insights to benefit audiences in both academia and industry.
- Appeals to readers with its systematic and coherent approach that includes fundamental theoretical concepts as well as applied practical knowledge
- Includes state-of-the-art information on disruptive smart manufacturing technologies, real-life case studies of their impact in business scenarios, and gap analysis, creating an evidence-based path to recognize the opportunities and challenges originating from an industry 4.0 to industry 5.0 transition
- Serves as a guide to the next generation of engineers and facilitates making the next manufacturing paradigm a reality
Academics and researchers, postgraduate and undergraduate students in the fields of mechanical and mechatronics engineering, industrial and systems engineering, smart/advanced/computer-integrated manufacturing, design for manufacturing, applied technologies, intelligent automation for manufacturing, service robotics, production management.
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Part I: From Industry 4.0 to Industry 5.0: definition, technological enablers, and comparison
- 1. Introduction
- Abstract
- 1.1 Comparison with Industry 4.0
- 1.2 Challenges
- 1.3 Structure of the book
- References
- 2. Industry 4.0 and smart manufacturing
- Abstract
- 2.1 Introduction
- 2.2 Industry 4.0
- 2.3 Smart manufacturing principles
- 2.4 Digital manufacturing
- 2.5 Discussion and outlook
- 2.6 Conclusions
- References
- 3. Industry 5.0: perspectives, concepts, and technologies
- Abstract
- 3.1 Introduction
- 3.2 Related work
- 3.3 Key enabling technologies and Industry 5.0 architecture
- 3.4 Identification of challenges and outlook toward Industry 5.0
- 3.5 Challenges, opportunities, and limitations
- 3.6 Outlook and conclusion
- References
- 4. Challenges and opportunities of the transition from Industry 4.0 to Industry 5.0
- Abstract
- 4.1 Introduction
- 4.2 Related work
- 4.3 Comparison between Industry 4.0 and Industry 5.0
- 4.4 Discussion
- 4.5 Conclusions and outlook
- References
- 5. Society 5.0: social implications, technoethics, and social acceptance
- Abstract
- 5.1 Introduction
- 5.2 Fundamentals of Society 5.0 and Industry 5.0
- 5.3 Social implications
- 5.4 Technoethics
- 5.5 Social acceptance
- 5.6 Conclusion
- References
- Part II: Industry 5.0: human-centric, resilient, and sustainable manufacturing
- 6. Human-centric systems in smart manufacturing
- Abstract
- 6.1 Introduction
- 6.2 Terminology and definition of human-centric systems
- 6.3 Manufacturing paradigm of human-centric systems
- 6.4 Conclusions and future work
- Acknowledgments
- References
- 7. The configuration of workforce and equipment in assembly lines: toward Industry 5.0
- Abstract
- 7.1 Introduction
- 7.2 Design of assembly lines for Industry 5.0: current trends and challenges
- 7.3 Workforce dimensioning and new methodology for dynamic workforce and task planning
- 7.4 Illustrative example
- 7.5 Discussion and outlook
- 7.6 Conclusion
- References
- 8. Responsible manufacturing toward Industry 5.0
- Abstract
- 8.1 Introduction
- 8.2 Responsible artificial intelligence
- 8.3 Applicability of responsible artificial intelligence to smart manufacturing
- 8.4 Case study: application of responsible manufacturing in the automotive manufacturing industry
- 8.5 Discussion and outlook
- References
- Part III: Integration of Industry 4.0 technologies in modern production and manufacturing networks toward Industry 5.0
- 9. Operations management and information systems for smart manufacturing
- Abstract
- 9.1 Introduction
- 9.2 Fundamentals of operations management in smart manufacturing
- 9.3 Information systems in smart manufacturing
- 9.4 Supply chain management in smart manufacturing
- 9.5 Quality control and traceability in smart manufacturing
- 9.6 Case studies and best practices
- 9.7 Conclusion and outlook
- References
- 10. Efficient data management for intelligent manufacturing
- Abstract
- 10.1 Introduction
- 10.2 Data curation techniques
- 10.3 Toward Industry 5.0: application highlights
- 10.4 Discussion and outlook
- 10.5 Conclusions
- Acknowledgments
- References
- 11. Industrial Internet of Things and advanced manufacturing
- Abstract
- 11.1 Introduction of industrial Internet of Things
- 11.2 Industrial Internet of Things-based advanced manufacturing toward Industry 5.0
- 11.3 Human-centric advanced manufacturing service collaboration
- 11.4 Challenges of advanced manufacturing service collaboration
- 11.5 Discussion and outlook
- References
- 12. Artificial intelligence for human–cyber-physical production systems
- Abstract
- 12.1 Introduction
- 12.2 Artificial intelligence evolution
- 12.3 The intelligent manufacturing paradigm
- 12.4 Enabling technologies of human–cyber-physical systems
- 12.5 Wearable computing in the context of human–cyber-physical systems
- 12.6 Concluding remarks and future research directions
- References
- 13. Cloud, fog, edge computing and 5G technologies for industrial automation
- Abstract
- 13.1 Introduction
- 13.2 Key technologies
- 13.3 Applications of key technologies for industrial automation
- 13.4 Discussion and outlook
- 13.5 Concluding remarks
- References
- 14. From data collection to advanced analytics and wisdom creation in manufacturing processes
- Abstract
- 14.1 Introduction
- 14.2 Data–information–knowledge–wisdom pyramid
- 14.3 Data–information–knowledge–wisdom in advanced and conventional manufacturing
- 14.4 Challenges in data collection
- 14.5 Advanced analytics to extract knowledge from data
- 14.6 Wisdom development for decision-making
- 14.7 Conclusions
- 14.8 Discussion and outlook
- References
- Part IV: Outlook and future directions
- 15. Outlook, trends, and future directions toward Industry 5.0
- Abstract
- 15.1 Book summary
- 15.2 Lessons learned, challenges, and future trends
- 15.3 Framework for Industry 5.0 adoption
- 15.4 Primary concerns of artificial intelligence
- 15.5 Artificial intelligence ethics
- 15.6 Key concepts in artificial intelligence ethics
- 15.7 Industrial metaverse and Industry 5.0
- References
- Index
- Edition: 1
- Published: June 26, 2024
- Imprint: Elsevier
- No. of pages: 524
- Language: English
- Paperback ISBN: 9780443139246
- eBook ISBN: 9780443139239
DM
Dimitris Mourtzis
Dimitris Mourtzis is a Professor in the Dept. of Mechanical Engineering and Aeronautics and Vice President of the Research Council of the University of Patras. He is a Founding Member of the CLEAN AVIATION Joint Undertaking Governing Body and Director of the Laboratory for Manufacturing Systems and Automation (LMS). He is a Fellow of the International Academy for Production Research (CIRP), the International Federation of Automatic Control (IFAC), the International Federation of Information Processing (IFIP), and Member of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). His scientific interests focus on design, planning, and control of manufacturing systems and networks, robotic systems, automation, advanced simulation including augmented, mixed, and virtual reality in manufacturing, manufacturing processes modeling and optimization, digital manufacturing, industry 4.5, industry 5.0, metaverse, and hybrid teaching factory.
Affiliations and expertise
Professor, Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics; Vice President, Research Council, University of Patras, Rio Patras, GreeceRead Manufacturing from Industry 4.0 to Industry 5.0 on ScienceDirect