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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\big DEPARTMENTAL SEMINAR}
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\centerline{4:15 p.m., Tuesday, April 19, 2005}
\centerline{Sequoia Hall Room 200}
\centerline{(Cookies at 3:45 in 1st Floor Lounge)}

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\centerline{\sl Fugee Tsung }
\centerline{Department of Industrial Engineering and Engineering Management}
\centerline{Hong Kong University of Science \& Technology}
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\centerline{\bf Recent Advances in Statistical Quality Control}
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Abstract: 

As quality and Six Sigma excellence has become a decisive factor
in global market competition, quality control techniques such as
Statistical Process Control (SPC) and Engineering Process Control (EPC) are
becoming popular in industries. With advances in information, sensing, and
data capture technology, large volumes of data are being routinely
collected and shared over multiple-stage processes, which has a growing
impact on the existing SPC and EPC methods. This talk will discuss several
technical challenges and present some recent extensions in this area such
as profile monitoring, engineering-controlled process monitoring, and
multistage SPC.

Bio: Dr. Fugee Tsung is an associate professor in the Department of
Industrial Engineering and Engineering Management at the Hong Kong
University of Science \& Technology.  He received both his M.S. and Ph.D. in
Industrial and Operations Engineering from the University of Michigan, Ann
Arbor, and his B.S. degree in Mechanical Engineering from National Taiwan
University. He worked for Ford Motors and Rockwell International and did
his post-doctoral research with Chrysler. He is now a Department Editor for
the IIE Transactions on Quality and Reliability, Associate Editor for IJRQSE
and IJSSCA, and Chairing the Quality, Statistics, and Reliability (QSR)
Section at INFORMS.  He is also the winner of the Best Paper Award for the
IIE Transactions focus issue on Quality and Reliability in 2003. His
current research interests include quality engineering and management,
statistical process control, monitoring and diagnosis.

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