AI-Enabled Manufacturing Processes and Intelligent Automation provides a comprehensive exploration of the transformative role of artificial intelligence in modern manufacturing systems. The book presents the foundational concepts of AI, machine learning, deep learning, reinforcement learning, and computer vision, highlighting their applications in intelligent production, adaptive control, quality inspection, and automated decision-making. It examines the integration of cyber-physical systems, Industrial Internet of Things (IIoT), digital twins, cloud manufacturing, and edge AI technologies that are shaping smart and connected manufacturing environments. Special emphasis is given to intelligent automation, predictive maintenance, supply chain optimization, additive manufacturing, materials processing, and sustainable manufacturing practices driven by real-time analytics and data-centric approaches. The volume also addresses important concerns related to data security, ethical implications, workforce transformation, and human–machine collaboration in AI-driven industries. Designed for researchers, academicians, engineers, and industry professionals, this book serves as a valuable resource for understanding emerging trends such as Industry 5.0, autonomous factories, and future intelligent manufacturing ecosystems.
