Topic: Industrial and Operations Engineering Faces the Challenges of Big Data and Little Data

Speaker: Prof.ZONG Fuji, Hong Kong University of Science and Technology

Host: Prof. ZHOU Weihua

Tim: 13:30-15:00 December 13th, 2016 (Tuesday)

Venue: Room 302

Abstract: This talk will present and discuss the challenges and opportunities that industrial/operations 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 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 industrial/operations 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 because such a small or single lot production does not have repeated measures of the same kind.