报告题目： 大数据对产品质量提升的机遇和挑战
主讲： 史建军 教授
日期： 2017年12月19日
时间： 2：30 – 4:00 pm
地点： 数据科学与jbo竞博电竞官方网站A101
主持： 肖侬 教授
摘要:
The rapid advances in cyber-infrastructure ranging from data enabled design and manufacturing, sensor technology, and communication networks to high-powered computing have resulted in temporally and spatially data-rich environments. This big data era brings significant challenges and great opportunities for quality improvements in advanced manufacturing systems. With massive data readily available, there is a pressing need to develop new methodologies and associated tools for quality improvement that will enable and assist (i) the development of unified data fusion models with multiple sources and stages of a contemporary complex engineering systems, (ii) the extraction of pertinent knowledge about the design and operations of these systems, and (iii) the exploitation of the acquired knowledge for data enabled optimal design, analysis, and control.
报告人简介:
Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992.