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- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 312
- ISBN-10: 103294935X
- ISBN-13: 9781032949352
- Kalba: Anglų
Intelligent Manufacturing Systems (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
This book offers an in-depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing. The book provides a comprehensive analysis of Cyber-Physical Systems (CPSs), 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
- Overview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization.
- Examination of IoT's role in connecting devices and sensors to enhance data collection, monitoring, and decision-making processes.
- Analysis of AI and ML applications in predictive maintenance, quality control, and production .
- Exploration about Intelligent robotics which can sense, learn, adapt, and make autonomous decision during the manufacturing.
- Examination of the interaction between human workers and intelligent systems, focusing on enhancing productivity and safety.
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 312
- ISBN-10: 103294935X
- ISBN-13: 9781032949352
- Kalba: Anglų
This book offers an in-depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing. The book provides a comprehensive analysis of Cyber-Physical Systems (CPSs), 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
- Overview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization.
- Examination of IoT's role in connecting devices and sensors to enhance data collection, monitoring, and decision-making processes.
- Analysis of AI and ML applications in predictive maintenance, quality control, and production .
- Exploration about Intelligent robotics which can sense, learn, adapt, and make autonomous decision during the manufacturing.
- Examination of the interaction between human workers and intelligent systems, focusing on enhancing productivity and safety.
Atsiliepimai