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Optimization of manufacturing systems using the Internet of Things / Yingfeng Zhang and Fei Tao

By: Contributor(s): Material type: TextTextPublication details: London Elsevier 2017Description: 213 pISBN:
  • 9780128099100
Subject(s): DDC classification:
  • 670 ZHA-Y
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Course Text Book Course Text Book BITS Pilani Hyderabad 670 Text & Reference Section (Student cannot borrow these books) 670 ZHA-Y (Browse shelf(Opens below)) Available 41873
Course Text Book Course Text Book BITS Pilani Hyderabad 670 Text & Reference Section (Student cannot borrow these books) 670 ZHA-Y (Browse shelf(Opens below)) Available 41814
Total holds: 0

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.

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