Abstract

Intelligent manufacturing has a legacy of over three decades. It has evolved from automated manufacturing systems to digital systems and beyond.  Digitization has profoundly impacted manufacturing enterprises. It has made its mark in different areas of manufacturing, from digital materials and processes to control and decision-making. It enables cloud representation of enterprises of any size, from small to large. The evolution of manufacturing, including the emerging trends, is presented. The structure and form of intelligent manufacturing of the future is the focus. The expectations attributed to manufacturing grow in numbers, from sustainability and resource sharing to service orientation and resiliency. The search for ways to meet these expectations continues and it is likely that multiple solution approaches will emerge. The concept of universal manufacturing is a candidate form that can be observed in industry. It is a natural progression from digital manufacturing that favors open systems. Universal manufacturing builds on the progress in digitization across industries. It satisfies the needs imposed by the business and social expectations attributed to the manufacturing of the future. The concepts, models, and solution approaches to be seen in the future intelligent manufacturing systems discussed in the presentation are illustrated with examples.      

Biography

Dr. Andrew Kusiak is a Professor in the Department of Industrial and Systems Engineering at The University of Iowa, Iowa City and Director of Intelligent Systems Laboratory. He has chaired two different departments, Industrial Engineering, and Mechanical and Industrial Engineering. His current research focuses on applications of computational intelligence in manufacturing, renewable energy, automation, sustainability, and healthcare. He is the author or coauthor of numerous books and hundreds of technical papers published in journals sponsored by professional societies, such as AAAI, ASME, IISE, IEEE, INFORMS, and other societies. He is a frequent speaker at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak has served in several elected professional society positions as well as editorial boards of over fifty journals, including the Editor position of five different IEEE Transactions. Professor Kusiak is a Fellow of the Institute of Industrial and Systems Engineers and the Editor-in-Chief of the Journal of Intelligent Manufacturing (Springer Nature). According to Google Scholar, his research has earned the top global ranking in intelligent manufacturing, wind energy, and other technology domains. 

Abstract

Today, many manufacturing companies are facing increasing challenges to manage its global operations due to several factors including pandemic, geopolitical, workforce, and other unknowns.  It necessitates new thinking and technologies to make manufacturing system 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, research issues on data quality for high performance and real-time data analytics in future predictive manufacturing and maintenance will be discussed.

Biography

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 Economics 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

ResearchGate: https://www.researchgate.net/profile/Jay_Lee10