Ajay Kumar is a Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur.Parveen Kumar is an Assistant Professor in the Department of Mechanical Engineering, at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. His areas of research include advanced materials, die-less forming, additive manufacturing, CAD/CAM, and optimization techniques. Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

• Section I: Intelligent Industrial Production Management Techniques and Systems: Fundamental Strategies1. Major Technologies of Industry 4.0 in Industrial Production Management Techniques2. Bibliometric analysis of Industry 4.0 enabled Intelligent Production Management Systems3. Transformation of Production Management Systems from 1.0 to 4.04. Elements of Production Management Techniques5. Intelligent design of Production Management Facilities6. Intelligent Industrial Production Planning Control and Scheduling7. Optimization of Production Management Methods by numerical/experimental and Computational/Simulation ApproachesSection II: Industry 4.0 Technologies Enabling Intelligence in Production Management Techniques8. Developing a framework for Artificial Intelligence implementation In Intelligent Production Management9. Digital Twin Technology Driven Production Management Methods10. Human-Machine Interaction in Sustainable Production Management Systems11. Augmented/Virtual/Mixed Reality in Production Engineering and Management12. Cyber-Physical Systems in Production Management13. Big Data Analytics in Production Management14. Role of Blockchain Technologies in Production Management Techniques15. Machine Learning (ML) approaches in production management16. Industrial Internet of Things (IIoT) in Production Management Strategies17. Role of cloud computing in intelligent production management techniques18. Integration of 3D Printing Technologies with Intelligent Production Management Techniques19. Information and Communication Technologies (ICT) Production Management ServicesSection III: Applications of Data Driven Industrial Production Management Techniques20. Role of Intelligent Production Management in New Product Development21. Application of Intelligence of Production Management Techniques in Smart Manufacturing22. Applications of Intelligent Production Management Techniques in Operational Departments of Manufacturing Industries23. Current Challenges and Future Direction in implementation of Intelligent Production Methods

Ajay Kumar is a Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur.Parveen Kumar is an Assistant Professor in the Department of Mechanical Engineering, at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. His areas of research include advanced materials, die-less forming, additive manufacturing, CAD/CAM, and optimization techniques. Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

• Section I: Intelligent Industrial Production Management Techniques and Systems: Fundamental Strategies1. Major Technologies of Industry 4.0 in Industrial Production Management Techniques2. Bibliometric analysis of Industry 4.0 enabled Intelligent Production Management Systems3. Transformation of Production Management Systems from 1.0 to 4.04. Elements of Production Management Techniques5. Intelligent design of Production Management Facilities6. Intelligent Industrial Production Planning Control and Scheduling7. Optimization of Production Management Methods by numerical/experimental and Computational/Simulation ApproachesSection II: Industry 4.0 Technologies Enabling Intelligence in Production Management Techniques8. Developing a framework for Artificial Intelligence implementation In Intelligent Production Management9. Digital Twin Technology Driven Production Management Methods10. Human-Machine Interaction in Sustainable Production Management Systems11. Augmented/Virtual/Mixed Reality in Production Engineering and Management12. Cyber-Physical Systems in Production Management13. Big Data Analytics in Production Management14. Role of Blockchain Technologies in Production Management Techniques15. Machine Learning (ML) approaches in production management16. Industrial Internet of Things (IIoT) in Production Management Strategies17. Role of cloud computing in intelligent production management techniques18. Integration of 3D Printing Technologies with Intelligent Production Management Techniques19. Information and Communication Technologies (ICT) Production Management ServicesSection III: Applications of Data Driven Industrial Production Management Techniques20. Role of Intelligent Production Management in New Product Development21. Application of Intelligence of Production Management Techniques in Smart Manufacturing22. Applications of Intelligent Production Management Techniques in Operational Departments of Manufacturing Industries23. Current Challenges and Future Direction in implementation of Intelligent Production Methods

Ajay Kumar is a Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur.Parveen Kumar is an Assistant Professor in the Department of Mechanical Engineering, at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. His areas of research include advanced materials, die-less forming, additive manufacturing, CAD/CAM, and optimization techniques. Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

• Section I: Intelligent Industrial Production Management Techniques and Systems: Fundamental Strategies1. Major Technologies of Industry 4.0 in Industrial Production Management Techniques2. Bibliometric analysis of Industry 4.0 enabled Intelligent Production Management Systems3. Transformation of Production Management Systems from 1.0 to 4.04. Elements of Production Management Techniques5. Intelligent design of Production Management Facilities6. Intelligent Industrial Production Planning Control and Scheduling7. Optimization of Production Management Methods by numerical/experimental and Computational/Simulation ApproachesSection II: Industry 4.0 Technologies Enabling Intelligence in Production Management Techniques8. Developing a framework for Artificial Intelligence implementation In Intelligent Production Management9. Digital Twin Technology Driven Production Management Methods10. Human-Machine Interaction in Sustainable Production Management Systems11. Augmented/Virtual/Mixed Reality in Production Engineering and Management12. Cyber-Physical Systems in Production Management13. Big Data Analytics in Production Management14. Role of Blockchain Technologies in Production Management Techniques15. Machine Learning (ML) approaches in production management16. Industrial Internet of Things (IIoT) in Production Management Strategies17. Role of cloud computing in intelligent production management techniques18. Integration of 3D Printing Technologies with Intelligent Production Management Techniques19. Information and Communication Technologies (ICT) Production Management ServicesSection III: Applications of Data Driven Industrial Production Management Techniques20. Role of Intelligent Production Management in New Product Development21. Application of Intelligence of Production Management Techniques in Smart Manufacturing22. Applications of Intelligent Production Management Techniques in Operational Departments of Manufacturing Industries23. Current Challenges and Future Direction in implementation of Intelligent Production Methods