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Optimization of Manufacturing Systems Using the Internet of Things
Explains how Internet of Things tools can capture and collect knowledge for improved planning, execution, and control of manufacturing systems
Yingfeng Zhang (Author), Fei Tao (Author)
9780128099100
Paperback, published 21 October 2016
226 pages
22.9 x 15.1 x 1.5 cm, 0.39 kg
Optimization 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.
1. Introduction2. Overview of IoMT3. Real-time and multi-source manufacturing information perception4. IoT-enabled smart assembly station5. Cloud computing based manufacturing resources configuration method6. Real-time information-driven production-scheduling system7. IoT-enabled smart material handling8. Real-time key production performances monitor method9. IoMTprototype system10. Conclusions and future works
Subject Areas: Databases & the Web [UNN], Internet: general works [UBW], Energy technology & engineering [TH], Other manufacturing technologies [TDP], Investment & securities [KFFM]
