Advanced Manufacturing and Automation XI / Lecture Notes in Electrical Engineering Bd.880 (PDF)

Dr. Yi Wang obtained his PhD from Manufacturing Engineering Center, Cardiff University in 2008. Hu is a lecturer in Business School, Plymouth University, UK. Previously he worked in the department of Computer Science, Southampton University and at the Business School, Nottingham Trent University. He holds various visiting lectureship in several universities worldwide. Dr. Wang has special research interests in supply chain management, logistics, operation management, culture management, Big data and data analytics, Neuromarketing, and Industry 4.0/5.0. Dr. Wang has published over 100 technical peer-reviewed papers in international journals, book chapters and conferences. He has authored 3 books, for example, Operations Management for Business, Fashion Supply Chain Management and Data Mining for Zero-defect Manufacturing. etc., edited 6 books, and made 5 book chapters.
Dr. Kristian Martinsen took his PhD at the Norwegian University for Science and Technology (NTNU) in 1995, with the topic "Vectorial Tolerancing in Manufacturing". He has 15 years' experience from manufacturing industry. He is a Professor at faculty of Engineering and Department for Manufacturing and Civil Engineering, the Norwegian University for Science and Technology (NTNU), and is the manager of the Manufacturing Engineering research group in this department. He is a corporate member of the International academy for Production Engineering and a member of the High-Level Group of the EU Technology Platform for manufacturing; MANUFUTURE. He is the manager of the Norwegian national infrastructure for manufacturing research laboratories; MANULAB, and is the international coordinator for the Norwegian Centre for Research-based Innovation SFI MANUFACTURING. He has published many papers in international journals and conference. His major research area is within the field of measurement systems, variation/quality management and toleranceing. Towards Industry 5.0: Research Challenges in Human-Machine