Advanced Manufacturing and Automation VII

Kesheng Wang

ISBN 10: 9811354855 / ISBN 13: 9789811354854

Edité par Springer Nature Singapore, Springer Nature Singapore, 2019

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9789811354854

Détails bibliographiques

• Titre: Advanced Manufacturing and Automation VII
• Éditeur: Springer Nature Singapore, Springer Nature Singapore
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 9811354855
• ISBN à 13 chiffres: 9789811354854
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 36 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 36 millimètres de profondeur
• Poids: 990 grammes

A propos de ce titre

Synopsis

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

À propos de l?auteur

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.