Artificial General Intelligence in Sustainable and Secure Manufacturing

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.

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 manufacturingExplains cyber-physical systems integration to support environmental responsiveness and adaptive controlDetails AGI applications in energy optimization, emissions reduction, worker safety, and smart resource managementCovers advanced topics including 4D printing, smart materials, circular economy, and lifecycle analysisIncludes case studies from global contexts showing practical implementation across various industrial sectorsThis book is for researchers, engineers, industry professionals, and graduate students in sustainable manufacturing, AI in industrial systems, and cyber-physical production technologies.