Artificial General Intelligence in Sustainable and Secure Manufacturing

1. Auflage 2027
ISBN: 978-1-041-13715-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 456 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman & Hall/CRC Cyber-Physical Systems

This book explores the integration of Artificial General Intelligence (AGI) into sustainable manufacturing, offering a detailed framework that combines cyber-physical systems, advanced machine reasoning, and intelligent automation. It examines AGI-driven approaches for optimizing resource consumption, reducing carbon emissions, enhancing worker safety, and supporting real-time adaptive control. The text covers applications across Industry 6.0, including smart grid integration, waste reduction, sustainable supply chains, lifecycle analysis, and 4D printing. Featuring case studies from both developed and developing economies, the book also addresses infrastructure, implementation barriers, and regulatory concerns. It provides both theoretical underpinnings and practical solutions rooted in AGI-based autonomy, general learning, and knowledge transfer across industrial domains.

- Introduces AGI-enabled strategies for autonomous, real-time decision-making in sustainable manufacturing

- Explains cyber-physical systems integration to support environmental responsiveness and adaptive control

- Details AGI applications in energy optimization, emissions reduction, worker safety, and smart resource management

- Covers advanced topics including 4D printing, smart materials, circular economy, and lifecycle analysis

- Includes case studies from global contexts showing practical implementation across various industrial sectors

This book is for researchers, engineers, industry professionals, and graduate students in sustainable manufacturing, AI in industrial systems, and cyber-physical production technologies.

Zielgruppe

Academic

Autoren/Hrsg.

Kumar, Rajendra

Jain, Vishal

Tan Wei Han, Garry

Masa'deh, Ra'ed

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

1. Cyber-Physical Infrastructure and Implementation Challenges in Sustainable Manufacturing. 2. Artificial General Intelligence in Sustainable and Secure Manufacturing: An Overview of Opportunities, Challenges, and Future Directions. 3. Advancing Sustainable Manufacturing Through Artificial General Intelligence Over Narrow AI. 4. Industry 6.0 and Smart Manufacturing in Cyber-Physical Environments. 5. Resource Optimization: Cloud based Monitoring in Sustainable Manufacturing. 6. Artificial General Intelligence (AGI)-Powered Posture-Aware Manufacturing: Reducing Repetitive Strain Injuries. 7. The Impact of Artificial General Intelligence on Quality of Work Life and Employee Well-Being. 8. Sustainable Manufacturing with Enzyme Technology and Artificial Intelligence (AI) for Wastewater Management. 9. Cybersecurity in Sustainable Manufacturing. 10. The Nexus of Cybersecurity and Sustainable Manufacturing: A Study of Jordanian Industrial Companies. 11. Cloud-Based Monitoring in Sustainable Manufacturing. 12. Ethical and Regulatory Concerns with Economic Developments in Sustainable Manufacturing. 13. Cloud Based Smart Material Evaluation in Sustainable Manufacturing. 14. 4D Printing and Artificial General Intelligence. 15. Human–Machine Communication in Sustainable Manufacturing: Building Trust in Cutting Edge Technologies. 16. Remote Monitoring Frameworks for Sustainable Manufacturing: Enabling Intelligent Oversight Through AGI, AR/VR and 6G. 17. Designing the Future Factory: Upgrading conventional Manufacturing into Sustainable Manufacturing using Integrating Artificial General Intelligence and Threat Resilience. 18. Investigating the Future Perceptions of AGI adoption in sustainable Manufacturing in Developing Countries: An Exploratory Study. 19. Artificial General Intelligence Readiness for Sustainable Manufacturing: A Qualitative Study of the Agri-Food Sector in the Souss-Massa Region.

Über Autor(innen)

Rajendra Kumar is working as a Professor at the Department of Computer Science and Engineering, Sharda School of Computing Science and Engineering, Sharda University, Greater Noida, India. He is senior member of IEEE, life member of SRD and member of several academic bodies. Dr Kumar has 28 years of Teaching and research Experience in various technical Institutions of Uttar Pradesh and Chandigarh University (NAAC A+). He has published 5 textbooks, 10 edited books (CRC Press, De Gruyter, Scrivener, Nova, IGI Global), 2 monographs, and 4 patents. He has attended 6 faculty development programs. He has published 35+ papers in national/international journals, 25+ book chapters, and presented 20+ papers in national/international conferences held in India, Singapore, UAE, Malaysia, Indonesia, and Thailand. He has delivered the keynote addresses in international conferences and has been the session chair many times.

Vishal Jain is presently working as a Professor at the Department of Computer Science and Engineering, School of Engineering and Technology, Vivekananda Institute of Professional Studies - Technical Campus, New Delhi. Before that, he worked as Professor at Sharda University, Greater Noida and Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has associated as a member of the Faculty Board, Board of Planning and Management, Executive Council, Academic Council, Curriculum Development and Review Committee and Academic Audit of various higher education Institutions. He is associated with Kuala Lumpur University of Science and Technology (KLUST), Malaysia, Lincoln University College, Malaysia and Research Institute of IoT Cybersecurity, Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan for research-oriented activities.

Garry Tan Wei Han is a Senior Professor at the UCSI Graduate Business School, UCSI University, Malaysia, with extensive expertise in digital transformation, mobile technology, and marketing analytics. He holds a PhD in Business Administration, an MSc from the University of Edinburgh, and a bachelor’s degree from the University of Malaya.

Recognized among the World’s Top 2% Scientists (Stanford University, 2021–2026), Prof. Tan is a highly accomplished researcher with a strong global academic presence. He has authored numerous publications in leading peer-reviewed journals, particularly in areas such as mobile commerce, digital banking, and technology acceptance models. His work is widely cited and has significantly contributed to advancing knowledge in emerging digital ecosystems.

In addition to his research contributions, he actively serves as a reviewer and editorial board member for reputed international journals and is frequently invited as a keynote speaker, panelist, and workshop facilitator. Prof. Tan’s research focuses on bridging theory and practice, fostering interdisciplinary collaboration, and supporting innovation in digital adoption across business and society.

Ra’ed (Moh’d Taisir) Masa’deh is a distinguished Professor of Management Information Systems at the University of Jordan, with extensive academic, administrative, and research experience in business and information systems. He holds a PhD in Management Information Systems from the University of Nottingham, UK, along with postgraduate qualifications in finance and accounting from Brunel University.

With over a decade of progressive academic leadership, he has served in key positions including Dean of the Business School, Assistant President for Academic Affairs, and Head of the MIS Department. His research spans IT-business strategic alignment, knowledge management, e-business, and technology adoption, contributing to more than 300 scholarly publications in reputable international journals, books, and conferences.

Prof. Masa’deh has received several prestigious awards, including the Abdul Hameed Shoman Award, and is recognized among the world’s top 2% scientists. He actively contributes to global academia through editorial board memberships, conference leadership, and research collaborations. His work reflects a strong commitment to advancing digital transformation, innovation, and interdisciplinary research in information systems and business management.