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OverviewOptimization of Manufacturing Systems Using the Internet of Things extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility, and interoperability in production planning, execution, and control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system. As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors. Full Product DetailsAuthor: Yingfeng Zhang (Northwestern Polytechnical University, China) , Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Dimensions: Width: 15.20cm , Height: 1.30cm , Length: 22.90cm Weight: 0.390kg ISBN: 9780128099100ISBN 10: 0128099100 Pages: 226 Publication Date: 21 October 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction 2. Overview of IoMT 3. Real-time and multi-source manufacturing information perception 4. IoT-enabled smart assembly station 5. Cloud computing based manufacturing resources configuration method 6. Real-time information-driven production-scheduling system 7. IoT-enabled smart material handling 8. Real-time key production performances monitor method 9. IoMTprototype system 10. Conclusions and future worksReviewsAuthor InformationYingfeng Zhang is a professor at the department of Industrial Engineering of the Northwestern Polytechnical University, China. Currently, his research interests are the Internet of Manufacturing Things (IoMT) and real-time data driven production optimization. Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented smart manufacturing, manufacturing service management and optimization, digital twin driven product design/manufacturing/service, green and sustainable manufacturing. Tab Content 6Author Website:Countries AvailableAll regions |
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