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Optimization of Manufacturing Systems Using the Internet of Things
1st Edition - October 21, 2016
Authors: Yingfeng Zhang, Fei Tao
Paperback ISBN:9780128099100
9 7 8 - 0 - 1 2 - 8 0 9 9 1 0 - 0
eBook ISBN:9780128099117
9 7 8 - 0 - 1 2 - 8 0 9 9 1 1 - 7
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… Read more
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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.
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
Graduate students and researchers in manufacturing engineering and operations management; operations managers, control engineers, systems engineers at large manufacturers
Preface
Chapter 1: Introduction
Abstract
1.1. The concept of IoT
1.2. Existing manufacturing paradigms and their limitations
1.3. Applications of IoT in manufacturing system
1.4. The conception of IoT-MS
1.5. Key features and limitations of IoT-MS
1.6. Organization of the book
Chapter 2: Overview of IoT-Enabled Manufacturing System
Abstract
2.1. Introduction
2.2. Related work
2.3. Overall architecture of IoT-MS
2.4. Integration framework of real-time manufacturing information
2.5. The worklogic of IoT-MS
2.6. Description of the core technologies of IoT-MS
Chapter 3: Real-Time and Multisource Manufacturing Information Sensing System
Abstract
3.1. Introduction
3.2. Related works
3.3. Overall architecture of real-time and multisource RMMISS
3.4. Deployment of multisensors
3.5. Multiple sensors manager
3.6. Multisource manufacturing information capturing and sharing
3.7. Case study
Chapter 4: IoT-Enabled Smart Assembly Station
Abstract
4.1. Introduction
4.2. Related works
4.3. Overall architecture of IoT-enabled smart assembly station
9.8. Real-time manufacturing information track and trace
9.9. Real-time key production performances monitor module
Chapter 10: Conclusions and Future Works
Abstract
10.1. Conclusions
10.2. Future works
Index
No. of pages: 226
Language: English
Published: October 21, 2016
Imprint: Academic Press
Paperback ISBN: 9780128099100
eBook ISBN: 9780128099117
YZ
Yingfeng Zhang
Yingfeng 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.
Affiliations and expertise
Northwestern Polytechnical University, China
FT
Fei Tao
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.
Affiliations and expertise
Professor, School of Automation Science and Electrical Engineering, Beihang University, China