Optimization of Manufacturing Systems Using the Internet of Things

Yingfeng Zhang; Fei Tao

ISBN 10: 0128099100 / ISBN 13: 9780128099100

Published by Academic Press, 2017

About this Item

Paperback, xii + 213 pages, NOT ex-library. A corner crease on the front cover, gently curled tips of page corners. Book is clean with unmarked text, free of inscriptions and stamps, firmly bound.

Seller Inventory # 011226

Bibliographic Details

• Title: Optimization of Manufacturing Systems Using the Internet of Things
• Publisher: Academic Press
• Publication Date: 2017
• Language: English
• ISBN 10: 0128099100
• ISBN 13: 9780128099100
• Binding: Soft cover
• Edition: 1st Edition
• Condition: Good

About this title

Synopsis

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

About the Authors

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.