Industrial AI and Big Data Enabled Resilient Industrial Systems in the Post-Pandemic Era
This event is in the past.
Hosted by: Industrial & Systems Engineering Department
Seminar Presented by Prof. Jay Lee. Vice Chairman, Foxconn Technology Group
Abstract: Today, many manufacturing companies are facing increasing challenges to manage its global operations due to several factors including pandemic, geopolitical, workforce, logistics, and other unknowns. It necessitates new thinking and technologies to make manufacturing opertions smarter and resilient. Industrial AI, Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design product, manufacturing, and service systems. It is clear that as more sensors and smart analytics software are integrated in the networked industrial products, manufacturing, and maintenance systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will give an introduction about Industrial AI for smart resilient machines and manufacturing operations. First, Industrial AI systematic approach will be introduced. Case studies on advanced predictive analytics technologies for different manufacturing and maintenance operations will be demonstrated. In addition, issues on data quality for high performance and real-time data analytics in future predictive manufacturing and maintenance will be discussed.
Bio: Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. Prior to this position, he served as Vice Chairman of Foxconn Industrial Internet. Currently, he is on leave from Univ. of Cincinnati where he holds Ohio Eminent Scholar and L.W. Scott Alter Chair Professor and is the founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net). In addition, he is the Founding Director of Industrial AI Center (www.iaicenter.com).
He also serves as a member of the Global Future Council on Advanced Manufacturing and Production of the World Economic Forum (WEF) as well as a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM) to engage the global leaders for the development of collaborative activities in smart manufacturing.
Previously, he served as senior advisor to McKinsey & Company. Prior to his academic career, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC) as well as Program Directors for a number of programs at NSF. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016 and 20 most influential professors in Smart Manufacturing in June 2020. His new book on Industrial AI was published by Springer in 2020.
For publication citation and impacts, see
Google Scholar https://scholar.google.com/citations?user=g9GtqgQAAAAJ&hl=en&oi=ao