Intelligent Manufacturing Systems: Digitalization of Industrial Production

This book offers an in-depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing. With case studies, literature reviews, and real-world applications, this guide is an essential resource for anyone aiming to understand and leverage advancements in Intelligent Manufacturing Systems. This book offers an in‑depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing. This book provides a comprehensive analysis of cyber‑physical systems, the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and big data analytics, demonstrating their role in optimizing design, production, and management processes. With detailed case studies, structured literature reviews, and real‑world applications, this guide is an essential resource for scholars, researchers, and professionals aiming to understand and leverage the advancements in Intelligent Manufacturing Systems. Key Features: Provides an overview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization Examines the role of IoT in connecting devices and sensors to enhance data collection, monitoring, and decision‑making processes Discusses the applications of AI and ML in predictive maintenance, quality control, and production optimization Explores about intelligent robotics that can sense, learn, adapt, and make autonomous decisions during manufacturing Examines the interaction between human workers and intelligent systems, focusing on enhancing productivity and safety