Smart Manufacturing 5.0

Sustainability, Human-Centricity and Resilience
Erscheinungsjahr 2026
ISBN: 978-0-443-40477-1
Verlag: Elsevier Science

Buch, Englisch, 820 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

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. Ideal for professionals and engineers, Smart Manufacturing 5.0: Sustainability, Human-Centricity and Resilience offers essential insights into sustainable engineering and industrial innovation trends.

Autoren/Hrsg.

Rossit, Daniel

Psarommatis, Foivos

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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

Über Autor(innen)

Psarommatis, Foivos
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.