Lecture Notes in Electrical Engineering

Advanced Manufacturing and Automation VII

Editors: Wang, K., Wang, Y., Strandhagen, J.O., Yu, T. (Eds.)

Free Preview
  • Gathers selected presentations from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), Changshu, China
  • Presents latest research findings from leading academic researchers and engineers from industry
  • Benefits engineers facing challenges to keep on top of the emerging trends through continuous research and development
see more benefits

Buy this book

eBook $269.00
price for USA in USD
  • ISBN 978-981-10-5768-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $349.00
price for USA in USD
  • ISBN 978-981-10-5767-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $349.00
price for USA in USD
  • ISBN 978-981-13-5485-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

The proceedings brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11–12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

About the authors

Professor Kesheng Wang has been a Professor and director of the Knowledge Discovery Laboratory at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), Norway. He became an elected member of the Norwegian Academy of Technological Sciences in 2006. Prof. Wang has published 22 books, 10 book chapters and over 270 technical peer-reviewed papers in international journals and conferences. He also has extensive experience with coordinating cooperation projects with many industrial companies and national, international and EU projects. Professor Wang’s current areas of interest are intelligent manufacturing systems, data mining and knowledge discovery, radio-frequency identification (RFID), predictive maintenance and Industry 4.0/Logistics 4.0.

Dr. Yi Wang obtained his PhD from the Manufacturing Engineering Center, Cardiff University, UK in 2008. He is currently a Lecturer at the School of Business and Management, Plymouth University, UK. He holds various visiting professorships in several universities worldwide. Dr. Wang’s research interests include supply chain management, logistics, operation management, culture management, information systems, game theory, data analysis, semantics and ontology analysis, and neuromarketing. He has published 35 technical peer-reviewed papers in international journals and conferences. He has co-authored two monographs: Operations Management for Business in 2008 and Data Mining for Zero-defect Manufacturing in 2012.

Professor Jan Ola Strandhagen is a Professor at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), Norway. He was previously director of the research center SFI Norman in SINTEF. He holds a PhD in Production Engineering from NTNU (1994). His research has focused on production management and control, logistics, manufacturing economics and strategies. He has managed and executed R&D projects in close collaboration with a wide variety of Norwegian companies and participated as researcher and project manager in several European projects.

Professor Tao Yu is the President of Shanghai Polytechnic University, Shanghai, China and Professor at Shanghai University. He is a committee member of the International Federation for Information Processing (IFIP)/TC5. Prof. Yu has published more than one hundred academic papers. His research interests include mechatronics, computer integrated manufacturing systems and grid manufacturing.

Table of contents (66 chapters)

Table of contents (66 chapters)
  • How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning

    Pages 1-9

    Wang, Kesheng (et al.)

  • Application of Long Short-Term Memory Neural Network to Sales Forecasting in Retail—A Case Study

    Pages 11-17

    Yu, Quan (et al.)

  • A Coarse-to-Fine Matching Method in the Line Laser Scanning System

    Pages 19-33

    Zhuang, Leilei (et al.)

  • Pose and Position Measurement in Dynamic Optical Coordinate Measure System

    Pages 35-51

    Qi, Yong (et al.)

  • Design of Pin-Point Gate Injection Mould for Shells of Earplugs

    Pages 53-61

    Feng, Xian (et al.)

Buy this book

eBook $269.00
price for USA in USD
  • ISBN 978-981-10-5768-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $349.00
price for USA in USD
  • ISBN 978-981-10-5767-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $349.00
price for USA in USD
  • ISBN 978-981-13-5485-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Advanced Manufacturing and Automation VII
Editors
  • Kesheng Wang
  • Yi Wang
  • Jan Ola Strandhagen
  • Tao Yu
Series Title
Lecture Notes in Electrical Engineering
Series Volume
451
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-5768-7
DOI
10.1007/978-981-10-5768-7
Hardcover ISBN
978-981-10-5767-0
Softcover ISBN
978-981-13-5485-4
Series ISSN
1876-1100
Edition Number
1
Number of Pages
XVIII, 644
Number of Illustrations
361 b/w illustrations
Topics