Optimization of Manufacturing Systems Using the Internet of Things
Academic Press Inc (Verlag)
978-0-12-809910-0 (ISBN)
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.
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. 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.
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
| Erscheinungsdatum | 15.11.2016 |
|---|---|
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 390 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Maschinenbau | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 0-12-809910-0 / 0128099100 |
| ISBN-13 | 978-0-12-809910-0 / 9780128099100 |
| Zustand | Neuware |
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