Smart Manufacturing 5.0. Sustainability, Human-Centricity and Resilience

Smart Manufacturing 5.0: Sustainability, Human-Centricity and Resilience offers essential insights into sustainable engineering and industrial innovation trends. The fourth industrial revolution, or Smart Manufacturing, integrates digital technologies with production and management systems, enabling real-time data access and improved decision-making. This integration enhances agility, flexibility and control, potentially achieving zero-defect manufacturing. However, the heavy reliance on technology and real-time data processing can challenge human interaction. As humans cannot process vast data in real-time, there is a need for better approaches to facilitate effective human-technology interaction.

Part I: Smart manufacturing 5.0 foundations
1. Smart manufacturing 5.0 architecture and human-centred perspectives
2. Smart manufacturing key enabling technologies
3. Smart manufacturing potential towards sustainability
4. Industry 4.0 and 5.0 contribution to smart manufacturing
5. The role of humans in smart manufacturing
6. The human-machine relationship in Intelligent Systems
7. Smart Manufacturing applications
8. Implementation challenges of Smart manufacturing 5.0
9. Resilient Smart manufacturing 5.0

Part II: The role of decision making in smart manufacturing
10. Decision Making Processes in a manufacturing system
11. Types of Decision Making methods and level of automation 0 decision making Processes
12. Decision making contribution towards sustainable manufacturing
13. Challenges in the implementation data driven decision making

Part III: The effects of smart manufacturing to production organisations
14. Smart manufacturing and Production scheduling
15. Smart manufacturing and Zero defect & waste manufacturing
16. The benefits of smart manufacturing in quality management
17. The use of smart manufacturing for virtual metrology
18. The use of predictive analytics for zero defects and zero waste
19. The support of smart manufacturing for Zero Defect remanufacturing
20. Smart manufacturing and Circularity
21. Smart manufacturing and supply chain
22. Smart manufacturing and business processes and decisions

Part IV: Enabling technologies and methods for Smart manufacturing
23. AI and ML in smart manufacturing era
24. Behavioural considerations of AI in Smart Manufacturing operations
25. Digital twins and smart manufacturing
26. Data analytics and smart manufacturing
27. Data structuring in smart manufacturing
28. Knowledge extraction in smart manufacturing
29. AI applications to Smart Machining for leveraging Smart Manufacturing
30. Technological challenges for smart manufacturing implementation

Authors

Daniel Alejandro Rossit Engineering Department, Universidad Nacional del Sur, Argentina.

Daniel Alejandro Rossit, PhD is a Researcher of CONICET (National Research Council of Argentina) and Adjunct Professor in the Engineering Department of the Universidad Nacional del Sur, Bah�a Blanca, Argentina. He has an Industrial Engineering degree and a PhD in Engineering. His research focuses on production problems, operations research and engineering systems optimization. He has published in journals such as Omega, International Journal of Production Research, The International Journal of Advanced Manufacturing, Computers and Electronics in Agriculture, and International Journal of Computer Integrated Manufacturing. He is a member of the editorial board for IET Collaborative Intelligent Manufacturing and Operational Research in Engineering Sciences: Theory and Applications. He has served as editor in of Evolution and Trends of Sustainable Approaches: Latest Development and Innovations in Science and Technology Applications and Designing Smart Manufacturing Systems. Currently, he advises Master's, Ph.D., and Postdoctoral students and has led technology development projects for industrial companies.

Foivos Psarommatis Department of Informatics, University of Oslo, Norway.

Foivos Psarommatis, is an engineer and active researcher in the area of quality management in manufacturing systems. Currently, he is a Chief scientist at University of Oslo (UiO) and owner and CEO of Zerofect in Switzerland. He is a pioneer in the area of Zero Defect Manufacturing (ZDM) and modernized and set the foundation of modern ZDM. His scientific interests are around Industry 4.0 and on how ZDM can be applied efficiently to production systems, focusing on the decision making, scheduling and design of a system or a product, with ultimate goal to achieve sustainable manufacturing. He was listed in world's top 2% of Scientists for 2022. Foivos holds a BSc and an MSc in Mechanical Engineering with specialization on design and manufacturing engineering from the University of Patras. He has also a second MSc from National University of Athens in Automation systems with specialization on manufacturing and production systems.

Table of Contents

Authors

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