Artificial General Intelligence in Sustainable and Secure Manufacturing, Gebunden

Klappentext

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

Key Features
Introduces AGIenabled strategies for autonomous, realtime decisionmaking in sustainable manufacturing
Explains CPS 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, artificial intelligence (AI) in industrial systems, and cyberphysical production technologies.