MULTIRESPONSE ROBUST DESIGN BY PRINCIPAL COMPONENT ANALYSIS

Most previous Taguchi method applications have only addressed a single -response problem. However, more than one correlated response normally occurs in a manufactured product. The multi-response problem has rece ived only limited attention. In this work, we propose an effective pro cedure on the basis of principal component analysis (PCA) to optimize the multi-response problems in the Taguchi method. With the PCA, a set of original responses can be transformed into a set of uncorrelated c omponents. Therefore, the conflict for determining the optimal setting s of the design parameters for the multi-response problems can be redu ced. Two case studies are evaluated, indicating that the proposed proc edure yields a satisfactory result.