A Comparative Study on Multiple Response Optimization for Robust Design

In the Taguchi type robust design, the product array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. We propose how to optimize multiple responses when we use the combined array approach to assign control and noise factors. An example is illustrated to show the difference between the product array approach and the combined array approach, and to show the performances of the proposed test statistics.