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, Bahía 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, 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.

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• Part I: Smart manufacturing 5.0 foundations 1. Smart manufacturing 5.0 architecture and human-centred perspectives2. Smart manufacturing key enabling technologies3. Smart manufacturing potential towards sustainability4. Industry 4.0 and 5.0 contribution to smart manufacturing5. The role of humans in smart manufacturing6. The human-machine relationship in Intelligent Systems7. Smart Manufacturing applications8. Implementation challenges of Smart manufacturing 5.09. Resilient Smart manufacturing 5.0Part II: The role of decision making in smart manufacturing 10. Decision Making Processes in a manufacturing system11. Types of Decision Making methods and level of automation 0 decision making Processes12. Decision making contribution towards sustainable manufacturing13. Challenges in the implementation data driven decision makingPart III: The effects of smart manufacturing to production organisations 14. Smart manufacturing and Production scheduling15. Smart manufacturing and Zero defect & waste manufacturing16. The benefits of smart manufacturing in quality management17. The use of smart manufacturing for virtual metrology18. The use of predictive analytics for zero defects and zero waste19. The support of smart manufacturing for Zero Defect remanufacturing20. Smart manufacturing and Circularity21. Smart manufacturing and supply chain22. Smart manufacturing and business processes and decisionsPart IV: Enabling technologies and methods for Smart manufacturing 23. AI and ML in smart manufacturing era24. Behavioural considerations of AI in Smart Manufacturing operations25. Digital twins and smart manufacturing26. Data analytics and smart manufacturing27. Data structuring in smart manufacturing28. Knowledge extraction in smart manufacturing29. AI applications to Smart Machining for leveraging Smart Manufacturing30. Technological challenges for smart manufacturing implementation

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, Bahía 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, 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.

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• Part I: Smart manufacturing 5.0 foundations 1. Smart manufacturing 5.0 architecture and human-centred perspectives2. Smart manufacturing key enabling technologies3. Smart manufacturing potential towards sustainability4. Industry 4.0 and 5.0 contribution to smart manufacturing5. The role of humans in smart manufacturing6. The human-machine relationship in Intelligent Systems7. Smart Manufacturing applications8. Implementation challenges of Smart manufacturing 5.09. Resilient Smart manufacturing 5.0Part II: The role of decision making in smart manufacturing 10. Decision Making Processes in a manufacturing system11. Types of Decision Making methods and level of automation 0 decision making Processes12. Decision making contribution towards sustainable manufacturing13. Challenges in the implementation data driven decision makingPart III: The effects of smart manufacturing to production organisations 14. Smart manufacturing and Production scheduling15. Smart manufacturing and Zero defect & waste manufacturing16. The benefits of smart manufacturing in quality management17. The use of smart manufacturing for virtual metrology18. The use of predictive analytics for zero defects and zero waste19. The support of smart manufacturing for Zero Defect remanufacturing20. Smart manufacturing and Circularity21. Smart manufacturing and supply chain22. Smart manufacturing and business processes and decisionsPart IV: Enabling technologies and methods for Smart manufacturing 23. AI and ML in smart manufacturing era24. Behavioural considerations of AI in Smart Manufacturing operations25. Digital twins and smart manufacturing26. Data analytics and smart manufacturing27. Data structuring in smart manufacturing28. Knowledge extraction in smart manufacturing29. AI applications to Smart Machining for leveraging Smart Manufacturing30. Technological challenges for smart manufacturing implementation

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, Bahía 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, 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.

Select Guide Rating

• Part I: Smart manufacturing 5.0 foundations 1. Smart manufacturing 5.0 architecture and human-centred perspectives2. Smart manufacturing key enabling technologies3. Smart manufacturing potential towards sustainability4. Industry 4.0 and 5.0 contribution to smart manufacturing5. The role of humans in smart manufacturing6. The human-machine relationship in Intelligent Systems7. Smart Manufacturing applications8. Implementation challenges of Smart manufacturing 5.09. Resilient Smart manufacturing 5.0Part II: The role of decision making in smart manufacturing 10. Decision Making Processes in a manufacturing system11. Types of Decision Making methods and level of automation 0 decision making Processes12. Decision making contribution towards sustainable manufacturing13. Challenges in the implementation data driven decision makingPart III: The effects of smart manufacturing to production organisations 14. Smart manufacturing and Production scheduling15. Smart manufacturing and Zero defect & waste manufacturing16. The benefits of smart manufacturing in quality management17. The use of smart manufacturing for virtual metrology18. The use of predictive analytics for zero defects and zero waste19. The support of smart manufacturing for Zero Defect remanufacturing20. Smart manufacturing and Circularity21. Smart manufacturing and supply chain22. Smart manufacturing and business processes and decisionsPart IV: Enabling technologies and methods for Smart manufacturing 23. AI and ML in smart manufacturing era24. Behavioural considerations of AI in Smart Manufacturing operations25. Digital twins and smart manufacturing26. Data analytics and smart manufacturing27. Data structuring in smart manufacturing28. Knowledge extraction in smart manufacturing29. AI applications to Smart Machining for leveraging Smart Manufacturing30. Technological challenges for smart manufacturing implementation