This paper describes the application of an Optimization-under-Uncertainty (OuU) ap- proach for the probabilistic design of engine components in an industrial setting. After a short discussion of recent OuU applications to turbomachinery components we will describe the model used for this study as well as its design and noise parameterization. This is followed by a description of the OuU method employed and the results obtained. Finally we will draw conclu- sions based on our experience and identify opportunities for improvement towards industrially viable OuU approaches.
