Optimization of Manufacturing Systems Using the Internet of Things (ePub)

Name: Optimization of Manufacturing Systems Using the Internet of Things
Brand: Elsevier Science & Techn.
SKU: 81358486
Price: 111.10 EUR
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(Sprache: Englisch)

Autoren: Yingfeng Zhang , Fei Tao

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Optimization of Manufacturing Systems Using the Internet of Things, Yingfeng Zhang, Fei Tao

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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...

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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

Autoren-Porträt von Yingfeng Zhang, Fei Tao

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.

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Bibliographische Angaben

Autoren: Yingfeng Zhang , Fei Tao
2016, 226 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128099119
ISBN-13: 9780128099117
Erscheinungsdatum: 21.10.2016

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Dateiformat: ePub
Größe: 17 MB
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