Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
KEY 2: Keynote Speech 2 (Chen-fu CHIEN)
Tuesday, 27/Jun/2017:
3:10pm - 4:05pm

Location: Aula Convegni (first floor)
Manufacturing big data analytics for smart production

Session Abstract

Global Manufacturing networks are facing disruptive challenges due to new technologies and solutions such as Big Data, Internet of Things, Cloud, and artificial intelligence, in which value chain positioning of individual firms may be restructured and the firm boundary has become blurred. The increasing adoption of new technologies have empowered an unprecedented level of manufacturing intelligence with profound effects on the controls, management, resource allocation and decisions involved in smart production. New ecosystem has emerged in which leading companies are battling for dominant positions in this newly created platform via providing novel value-proposition solutions and/or employing new technologies to support smart production. There should be a set of systematic methodologies for cross-discipline collaborations to empower smart manufacturing in addition to the underlying infrastructure and technologies. On the basis of our extensive collaborative studies with high-tech industries and the observed trends, this keynote aims to address emerging issues driven by the needs in modeling, big data analytics, and optimization for smart production. Indeed, semiconductor manufacturing is one of the most complicated and fast clock-speed industries driven by Moore’s Law for continuous technology migration and productivity enhancement. In the fully automation facility such as wafer fab, various approaches and solutions are developed for big data analytics to address new challenges involved in yield enhancement, defect diagnosis, advanced process control, equipment health management, cycle time reduction, cost reduction, human capital and productivity enhancement. This talk will conclude with discussions of the implications of evolutionary digital manufacturing technologies and applications to foster more discussions.

Short Bio: Prof. Chen-Fu Chien is Tsinghua Chair Professor and the Convener for Industrial Engineering and Management Program, Ministry of Science & Technology, Taiwan; Director for the Semiconductor Technologies Empowerment Partners (STEP) Consortium and NTHU-TSMC Center for Manufacturing Excellence. He received B.S. with double majors in I.E. and E.E. with the Phi Tao Phi Honor from NTHU in 1990. He received M.S. and Ph.D. of Decision Sciences and Operations Research with two minors in Statistics and Business at the University of Wisconsin-Madison, in 1994 and 1996, respectively. He was a Fulbright Scholar in UC Berkeley, from 2002 to 2003. From 2005 to 2008, he had been on-leave to serve as the Deputy Director of Industrial Engineering Division in Taiwan Semiconductor Manufacturing Company (TSMC). He also received the Executive Training of PCMPCL from Harvard Business School in 2007. Dr. Chien has 12 invention patents for semiconductor manufacturing and published more than 150 journal papers. Dr. Chien has received many awards including the Executive Yuan Award for Outstanding Science & Technology Contribution (2016), the National Quality Award (2012), Distinguished Research Awards from Ministry of Science & Technology (2007, 2011, 2016), the 2011 Best Paper Award of IEEE Trans. on Automation Sciences and Engineering, and the 2015 Best Paper Award of IEEE Trans. on Semiconductor Manufacturing. He is on the editorial board for a number of journals.

Contact and Legal Notice · Contact Address:
Conference: FAIM 2017
Conference Software - ConfTool Pro 2.6.119+CC
© 2001 - 2018 by Dr. H. Weinreich, Hamburg, Germany