Optimization of Manufacturing Systems Using the Internet of Things
Language: English
Published by Academic Press, 2017
- First Edition
- Softcover
- Used

Seller: killarneybooks, Inagh, Clare, Irelandkillarneybooks
AbeBooks seller since April 20, 2017
Condition: Used - Good
US$ 53.88
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Add to basketItem description from seller
Paperback, xii + 213 pages, NOT ex-library. A corner crease on the front cover, gently curled tips of page corners. Book is clean with unmarked text, free of inscriptions and stamps, firmly bound. -- This work provides a comprehensive guide to the application of Internet of Things (IoT) technologies for the optimization of manufacturing systems. It details how the integration of smart, connected devices - from sensors on the shop floor to RFID tags in the supply chain - can create a data-rich environment for real-time monitoring, analysis, and control. The book covers key enabling technologies and presents methodologies for using this data to improve production efficiency, predictive maintenance, quality control, and energy management. It serves as a practical reference for engineers, researchers, and managers seeking to implement IoT-based solutions and transition towards a smart factory or Industry 4.0 model.
Seller Inventory # 011226
- Title
- Optimization of Manufacturing Systems Using the Internet of Things
- Author
- Yingfeng Zhang; Fei Tao
- Publisher
- Academic Press
- Publication year
- 2017
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128099100
- ISBN 13
- 9780128099100
- Edition
- 1st Edition
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 environments
- Acts as an introduction to using IoT for readers across industrial and manufacturing engineering
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
killarneybooks
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