The PSU Student Chapter of INFORMS welcomes OR/MS Student Seminar speaker
Hussam Alshraideh
Ph.D. Candidate (2008-present), M.S. (2007), B.S. (2004)
Title: Modeling and Robust Parameter Optimization of Profile Response Experiments
Abstract
Profile response experiments arise in a variety of applications in practice. In these experiments, it is
frequent to desire a particular shape of the profile response which in turn defines desired properties
of the product or process. We propose a spatio-temporal Gaussian Process model for such profile
response systems. The modeling approach is Bayesian and allows to optimize the shape of the
profile response in robust parameter design scenarios, i.e., it allows to maximize the probability the
profile is within a given specification band when environmental or noise factors exist, in addition to
the controllable factors. The talk will start by a brief introduction to profile response experiments
and robust parameter optimization. The proposed model will then be introduced in a Bayesian
framework. Finally, results of applying the proposed model to data sets obtained from the literature
will be shown.
Bibliography
Hussam Alshraideh is pursuing his Ph.D. degree in Industrial Engineering and Operations
Research at The Pennsylvania State University under the supervision of Professor Enrique Del
Castillo. In 2004, Hussam received his B.S. degree in Industrial Engineering from Jordan University
of Science and Technology in Jordan. Being ranked the first of his graduation class, he has been
awarded a scholarship to purse his Masters and Ph.D. degrees. He received his M.S degree in
Industrial Engineering/ Quality Engineering from Arizona State University in 2007. In the past, he
worked as a production manager at Century Wear, a textile manufacturer in Jordan, responsible for
production planning and applying quality control principles. Hussam research interests include Data
Mining, Computer experiments and Robust Parameter Optimization.
Tuesday, April 26, 2011
5:45 Refreshments will be served
6:00 pm, Room 114 EES Building