Dr. Chang teaches courses related to quality engineering at both undergraduate and graduate levels. His main research interests include multivariate statistical process control for manufacturing and health care, nonlinear profile monitoring, neural networks and fuzzy set applications in quality engineering, and multivariate experimental designs. In addition, he coordinates the assessments of student learning outcomes for ABET accreditation. Dr. Chang joined the department in 1991. Research area: Production Systems
Ph.D., Ohio State University, 1991
M.S., Arizona State University, 1987
B.S., Tsing-Hua University, Taiwan, 1983
Honors and Awards
2008 Best Assessment Practice Award from the Office of Assessment at K-State for a Web-Based IMSE ABET Document Control System
2004 NASA Faculty Fellowship
1997 SME Young Manufacturing Engineer Award
1997 IIE Distinguished Service Award
IMSE 541 Introduction to Statistical Quality Control
IMSE 641 Quality Engineering
IMSE 802 Analysis Methods for Engineers
IMSE 841 Advanced Quality Engineering
IMSE 866 Applied Stochastic Processes and Theoretical Simulation
IMSE 872 Industrial Forecasting Techniques and Applications
Multivariate statistical process control
Nonlinear profile monitoring
Neural networks and fuzzy set applications in quality engineering
Multivariate experimental design
American Society of Quality (ASQ)
Institute of Industrial Engineers (IIE)
Chang, S. I. and S.H. Chou (2010), “A Visualization Decision Support Tool for Multivariate SPC Diagnosis Using Marginal CUSUM Glyphs,” Quality Engineering, 22:3, 182-198.
Chang, S. I., and S. Yadama (2010), “Statistical Process Control for Monitoring Non-linear Profiles Using Wavelet Filtering and B-Spline Approximation,” International Journal of Production Research, 48, 4, 1049-1068.
Zhang, G. and S. I Chang (2008), “Multivariate EWMA Control Charts Using Individual Observations for Process Mean and Variance Monitoring and Diagnosis,” International Journal of Production Research, 46, 24, 6855-6881.