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© 2018

Advanced Manufacturing and Automation VII

  • Kesheng Wang
  • Yi Wang
  • Jan Ola Strandhagen
  • Tao Yu
  • 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

Conference proceedings IWAMA 2017

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 451)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Quan Yu, Kesheng Wang, Jan Ola Strandhagen, Yi Wang
    Pages 11-17
  3. Leilei Zhuang, Xu Zhang, Weiyan Zhou
    Pages 19-33
  4. Yong Qi, Xu Zhang, Hao Wu, Wei Cheng
    Pages 35-51
  5. Xian Feng, Min Yang, Min Zou
    Pages 53-61
  6. Haoyan Wang, Ziqiang Zhou
    Pages 63-69
  7. Can Zhang, Xu Zhang, Dawei Tu
    Pages 81-92
  8. Wei Cui, Chen Li, Can Zhang, Xu Zhang
    Pages 93-105
  9. Giuseppe Fragapane, Oladipupo Olaitan, Erlend Alfnes, Jan Ola Strandhagen
    Pages 107-114
  10. Lixin Lu, Yue Qian, Guiqin Li, Peter Mitrouchev
    Pages 115-122
  11. Li-xin Lu, Tao Deng, Gui-qin Li, Peter Mitrouchev
    Pages 123-130
  12. Jin Zhang, Guoping Li, Xiaojing Wang, Xiong Xin, Zikai Hua
    Pages 131-142
  13. Guiqin Li, Junjie Li, Jun Wang, Jiemin Feng, Qing Guo, Junlong Zhou et al.
    Pages 143-149
  14. Guiqin Li, Hao Chen, Jun Wang, Jiemin Feng, Qing Guo, Junlong Zhou et al.
    Pages 151-156
  15. Li-xin Lu, Tao Deng, Gui-qin Li, Mitrouchev Peter
    Pages 157-162
  16. Lixin Lu, Jun Hua, Guiqin Li, Mitrouchev Peter
    Pages 163-168
  17. Li-xin Lu, Lei Tang, Gui-qin Li, Peter Mitrouchev
    Pages 169-174
  18. Lu Lixin, Shen Deshuai, Li Guiqin, Mitrouchev Peter
    Pages 175-180

About these proceedings

Introduction

The proceeding 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.

Keywords

Computer Science Informatics Conference Proceedings Research Applications Smart Logistics Supply Chain Robotics and Automation Industry 4.0 Knowledge Discovery and Data Mining Decision Making Cyber-Physical System RFID, IOT and IOS Artificial Intelligence

Editors and affiliations

  • Kesheng Wang
    • 1
  • Yi Wang
    • 2
  • Jan Ola Strandhagen
    • 3
  • Tao Yu
    • 4
  1. 1.Department of Production and Quality EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.School of BusinessPlymouth UniversityPlymouthUnited Kingdom
  3. 3.Department of Mechanical and Industrial EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  4. 4.Shanghai Second Polytechnic UniversityShanghaiChina

About the editors

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.

Bibliographic information

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