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Advanced Manufacturing and Automation VII

BuchGebunden
644 Seiten
Englisch
Springererschienen am11.02.20181st ed. 2018
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.mehr
Verfügbare Formate
BuchGebunden
EUR374,49
BuchKartoniert, Paperback
EUR374,49
E-BookPDF1 - PDF WatermarkE-Book
EUR362,73

Produkt

KlappentextThe 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.
Details
ISBN/GTIN978-981-10-5767-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2018
Erscheinungsdatum11.02.2018
Auflage1st ed. 2018
ReiheLecture Notes in Electrical Engineering
Seiten644 Seiten
SpracheEnglisch
Gewicht1156 g
IllustrationenXVIII, 644 p. 361 illus.
Artikel-Nr.43480463

Inhalt/Kritik

Inhaltsverzeichnis
Robotics and Automation.- Computational Intelligence.- Design and Optimization.- Product Life-cycle Management.- Integration of CAD/CAPP/CAM/CIMS.- Advanced Manufacturing Systems.- Manufacturing Operations Management.- Knowledge-based Manufacturing.- Manufacturing Quality Control and Management.- Sustainable Production.- Diagnosis and Prognosis of Machines.- Industry 4.0.- Lean and Agile Manufacturing.- Virtual and Grid Manufacturing.- Resource and Asset Management.-Logistics and Supply Chain Management.- Fashion Logistics and Marketing.- RFID Applications.- Predictive Maintenance.- Reliability and Maintainability in Manufacturing.- Project Management.- Renewable Energy Development.- Knowledge management and Decision making.mehr

Schlagworte

Autor

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.