Quality Engineering Faces the Challenges of Big Data and Little Data

Date & Time: 
Friday, October 14, 2016 -
12:30 to 13:30
Prof. Fugee Tsung (Hong Kong University of Science & Technology)
Room 603
Prof. Fugee Tsung is Professor of the Department of Industrial Engineering and Logistics Management (IELM), Director of the Quality and Data Analytics Lab, at the Hong Kong University of Science & Technology (HKUST). He is a Fellow of the Institute of Industrial Engineers (IIE), Fellow of the American Society for Quality (ASQ), Academician of the International Academy for Quality (IAQ) and Fellow of the Hong Kong Institution of Engineers (HKIE). He is Editor-in-Chief of Journal of Quality Technology (JQT), Department Editor of the IIE Transactions, and Associate Editor of Technometrics. He has authored over 100 refereed journal publications, and is the winner of the Best Paper Award for the IIE Transactions in 2003 and 2009. He received both his MSc and PhD from the University of Michigan, Ann Arbor and his BSc from National Taiwan University. His research interests include quality engineering and management to manufacturing and service industries, statistical process control and monitoring, industrial statistics and data analytics.
This talk will present and discuss the challenges and opportunities that quality engineers face in the era of big data. The ability to separate signal and noise in the data-rich-information-poor environment would be the key, especially for industrial big data. Emerging issues include statistical process control and monitoring for big data streams, and reliability and maintenance modeling with big data.
The second part of the talk will present and discuss the challenges and opportunities that quality engineers face in the era of additive manufacturing (i.e., 3D printing), where there is little data due to its one-of-a-kind nature. For example, quality control techniques originated from mass production cannot be applied directly to such a highly customized/personalized environment because such a small or single lot production does not have repeated measures of the same kind.
Prof. Renyu Zhang will introduce Prof. Fugee Tsung.
Location & Details: 

Notes: Food and drinks are provided.

For NYUSH community, please RSVP here
For non-NYUSH community, please send email to nyush-datascience-group@nyu.edu to RSVP.