Data-driven Intelligent Manufacturing Scheduling Optimization and Prospects
Speaker: Ling Wang
Time: June 8 10:30, 2023
Venue: The third lecture hall of Conference Center, East Campus
Abstract:With the deep integration of new generation information technology and manufacturing industry, the manufacturing industry is driving optimization, cost reduction, and striving to achieve high-end, intelligent, and green development. In the process of globalization, distributed scheduling has become an inevitable trend to achieve networked manufacturing paradigm. On the path of sustainable development, green scheduling is the inevitable approach to achieve ecological manufacturing paradigm. Given the complexity of manufacturing systems, such as large scale, nonlinearity, strong constraints, multiple objectives, and uncertainties, the application of mathematical model-based methods is limited, and achieving global, efficient, and robust optimization in the scheduling process poses significant challenges. The fusion of model analysis and data analytics, collaboration between knowledge-driven approaches and collective intelligence, and the synergy between machine learning and operations research optimization are expected to be effective approaches in designing intelligent scheduling optimization methods for complex manufacturing systems.
Biography: Ling Wang received the BEng degree in automation and the PhD degree in control theory and control engineering from Tsinghua University, Beijing, China in 1995 and 1999, respectively. He is currently the Chairman Professor, doctoral supervisor and vice Chairman of Degree Committee of Automation Department of Tsinghua University. His current research interests include intelligent optimization and production scheduling. He has authored five academic books and more than 300 referred papers with over 15,000 citations in WOS and over 30,000 citations on Google Scholar.He is a recipient of the National Natural Science Fund for Distinguished Young Scholars of China, the National Natural Science Award (Second Place) in 2014, the Science and Technology Award of Beijing City in 2008, the Natural Science Award (First Place in 2003, and Second Place in 2007) nominated by the Ministry of Education of China. He is now the editor-in chief of the International Journal of Automation and Control, and the associate editor of IEEE TEVC, ESWS, SEC, MC etc.