Optimization of Manufacturing Systems Using the Internet of Things
Zhang, Yingfeng
Tao, Fei
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.. Includes case studies in implementing IoTs for data acquisition, monitoring, and assembly in manufacturing.Helps manufacturers to tackle the growing complexities and uncertainties of manufacturing systems in globalized business environmentsActs as an introduction to using IoT for readers across industrial and manufacturing engineering INDICE: 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
- ISBN: 978-0-12-809910-0
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 226
- Fecha Publicación: 26/10/2016
- Nº Volúmenes: 1
- Idioma: Inglés