Advanced Manufacturing and Automation IX

Robotics and Automation.- Chemical Process Equipment.- Parallel Mechanism and Manipulator.- 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.- EEG and Eye Tracking for Cognitive Applications.- RFID Applications.- Predictive Maintenance.- Reliability and Maintainability in Manufacturing.- Project Management.- Renewable Energy Development.- Knowledge Management and Decision Making.- Intelligent Inspection.

Dr. Yi Wang obtained his Ph.D. from the Manufacturing Engineering Center, Cardiff University, UK, in 2008. He is currently a Lecturer at the School of Business, 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 over 70 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. He published a new book in 2018: "Intelligent Fashion Supply Chain", Taylor and Francis.Professor Kristian Martinsen is currently a Professor at Gjøvik University College/NTNU Gjøvik, and the vice dean research at NTNU Gjøvik since September 2015. His current research interests include manufacturing engineering, sustainable manufacturing, manufacturing process monitoring and control, metal cutting, additive manufacturing, measuring technology, tolerance engineering, Industry 4.0, and learning factories.