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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 Explain