Gaussian Process Modeling and Optimization of Profile Response Experiments
Article first published online: 10 FEB 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 30, Issue 4, pages 449–462, June 2014
How to Cite
Alshraideh, H. and del Castillo, E. (2014), Gaussian Process Modeling and Optimization of Profile Response Experiments. Qual. Reliab. Engng. Int., 30: 449–462. doi: 10.1002/qre.1497
- Issue published online: 22 MAY 2014
- Article first published online: 10 FEB 2013
- Manuscript Accepted: 18 NOV 2012
- Manuscript Received: 4 NOV 2012
- functional responses;
- Gaussian random function processes;
- robust parameter design
Experiments where the response of interest is a curve or ‘profile’ arise in a variety of applications in engineering practice. In a recent paper (Journal of Quality Technology, 44, 2, pp. 117–135, 2012), a mixed-effects Bayesian approach was proposed for the Bayesian optimization of profile response systems, where a particular shape of the profile response defines desired properties of the product or process. This paper proposes an alternative spatio-temporal Gaussian random function process model for such profile response systems, which is more flexible with respect to the types of desired profile shapes that can be modeled and allows us to model profile-to-profile correlation, if this exists. The method is illustrated with real examples taken from the literature, and practical aspects related to model building and diagnostics are discussed. Copyright © 2013 John Wiley & Sons, Ltd.