Optimization of Manufacturing Systems Using the Internet of Things
Published on 21. October 2016
Book
Paperback/Softback
226 pages
978-0-12-809910-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
390 gr
ISBN-13
978-0-12-809910-0 (9780128099100)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yingfeng Zhang | Fei Tao
Optimization of Manufacturing Systems Using the Internet of Things
E-Book
10/2016
Academic Press
€108.00
Available for download
Persons
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.
Content
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