PICMET '18 Tutorials


 

"Industrial A.I. and Industrial Big Data Analytics for Product and Service Transformation"

Dr. Jay Lee, Ohio Eminent Scholar, L.W. Scott Alter Chair, and Distinguished Univ. Professor Univ. of Cincinnati & Director NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS)/Industrial AI Univ. of Cincinnati, Univ. of Michigan, Univ. of Texas-Austin, USA


Industrial Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design product and service systems. It is clear that as more sensors and smart analytics software are integrated in the networked industrial products and manufacturing systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will address the trends of predictive big data analytics, AI, and CPS for future smart industrial transformation. First, predictive analytics, AI, and Cyber-Physical System (CPS) enabled industrial systems will be introduced. Second, advanced predictive analytics technologies and Dominant Innovation methodology with case studies will be presented.

Dr. Jay Lee

Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Distinguished Univ. Professor at the Univ. of Cincinnati and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) which is a multi-campus NSF Industry/University Cooperative Research Center which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, Missouri Univ. of S&T, and the Univ. of Texas-Austin. Since its inception in 2001, the Center has been supported by over 100 global companies. He was selected to be one of the 30 Visionaries in Smart Manufacturing in U.S. by SME in Jan. 2016.

His current research focuses on predictive big data analytics and cyber physical systems, prognostics and health management (PHM), and Industry 4.0 systems. Currently he serves as a senior advisor to McKinsey & Company and S&T advisor to a number of organizations including Compagnie Plastic Omnium of France, Huawei, etc. He also serves on the Board of Governors of the Manufacturing Executive Leadership Board of Frost & Sullivan, Scientific Committee of SIMTech of Singapore, Leadership Council of MForesight- a NSF/NIST funded Manufacturing Think Tank, as well as Technical Advisory committee (TAC) of Digital Manufacturing and Design Innovation (DMDI). In 2013, he was invited to serve on the Advisory Dominant InnovationTM 2015 Committee member for White House Cyber Physical Systems (CPS) American Challenge Initiative. In addition, he serves on the advisory board for a number of start-up companies including Predictronics, etc.

He also serves as honorary professor and visiting professor for a number of institutions including Cranfield Univ. in UK, Lulea Univ. of Technology in Sweden, Univ. of Lorraine in France, etc. In addition, he serves as editors and associate editor for a number of journals including IEEE Transaction on Industrial Informatics, Int. Journal on Prognostics & Health Management (IJPHM), Int. Journal on Service Operations and Informatics, etc.

Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC), E. Hartford, CT as well as Program Directors for a number of programs at NSF during 1991-1998, including the Engineering Research Centers (ERCs) Program, the Industry/University Cooperative Research Centers (I/UCRCs) Program, and the Div. of Design, Manufacture, and Industrial Innovation. He also served as an advisory member for a number of institutions including, Johns Hopkins Univ., Cambridge Univ., etc.

He has authored/co-authored numerous highly influential articles and technical papers in the areas of machinery monitoring and prognostics, E-manufacturing, and intelligent maintenance systems. He has over 20 patents and trademarks. He is a frequently invited speaker and has delivered over 240 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, as well as a founding fellow of International Society of Engineering Asset Management (ISEAM).

He has received a number of awards including the most recent Prognostics Innovation Award at NI Week by National Instruments in 2012 and NSF Alex Schwarzkopf Technological Innovation Prize and MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016. He mentored his students and developed a number of spin-off company including Predictronics through NSF ICorps Award in 2012. In addition, his Team has won the 1st Prize PHM Data Challenges five time out of 10 competitions since 2008. He is also a honorary advisor to the Heifer International-a charity organization working to end hunger and poverty around the world by providing livestock and training to struggling communities.

 

 

"Who Can Best Predict Trending R&D Topics in a Target Domain?"

Dr. Alan Porter, Director of R&D for Search Technology, Inc., Norcross, Professor Emeritus of Industrial & Systems Engineering and of Public Policy and Co-director of the Technology Policy and Assessment Center at Georgia Tech, GA, USA


Differentiating cutting edge research within a target domain, and identifying who is most actively pursuing it, are vital to R&D policy and management. This tutorial explains the concept of Tech Emergence Indicators (TEI). It then demonstrates an easy-to-use method to calculate sets of such indicators using widely available R&D publication or patent data.

We also lay out a CONTEST to see who can analyze 10 years of abstract records to predict topics that will be prominent in the following two years. We give the groundrules to gain access to practice datasets and tech mining software (including, but not limited to, VantagePoint) and the contest logistics. Test datasets will be provided in advance of the 2019 Global Tech Mining (GTM) Conference in Atlanta, at which the winner will be awarded!

We invite ALL, but especially encourage student groups to participate.

Dr. Alan Porter

Dr. Alan Porter is Director of R&D for Search Technology, Inc., Norcross, GA, USA. He is also Professor Emeritus of Industrial & Systems Engineering, and of Public Policy, at Georgia Tech, where he remains Co-director of the Technology Policy and Assessment Center. He received a B.S. in Chemical Engineering from Caltech and a PhD in Psychology from UCLA. He is author of some 240 articles and books, including Tech Mining (Wiley, 2005). Many of his work is available at: http://www.researchgate.net/profile/Alan_Porter4 His current research emphasizes measuring, mapping, and forecasting emerging technologies.

 

 

 

 

 

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