Optimization of Z Scores in Multiple Response DOEs for Robust Design

Christopher Stanard General Electric Corporate R & D

Designed Experiments in industrial settings typically have multiple responses with multiple constraints and objectives. Particularly in robust design, it is important to optimize the means and minimize the variances. This talk will demonstrate new procedures for accomplishing these tasks using the Six Sigma Z score metric.