Description
Optimization of Manufacturing Systems Using the Internet of Things
Authors: Zhang Yingfeng, Tao Fei
Language: English
Subjects for Optimization of Manufacturing Systems Using the Internet...:
Keywords
access; architecture; case study; cloud machine model; cloud manufacturing (CMfg); control of production; core technology; decision tree; dynamic optimization; grey relational analysis (GRA); hierarchy timed color Petri net (HTCPN); intelligent manufacturing system; IntelliSense; Internet of things; Internet of things (IoT); IoT-enabled smart trolley; key production performance analysis; limitations; manufacturing system (MS); manufacturing systems; material handling; multisource manufacturing information; optimal configuration; production scheduling; prototype system; real time; real-time and multisource information; real-time information; real-time production data sharing; real-time production guiding; real-time production requeuing; real-time sensing; real-time status monitoring; running mechanism; service proactive discovery; smart assembly; smart factory; worklogic
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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.
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.
- 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
