New Trends in Multivariate Diagnosis

Abstract

Taguchi Methods, also called Robust Design, have been successfully applied in many engineering applications to improve the performance of the product/process. These methods are proved to be extremely useful and cost effective. In this paper we will describe how Taguchi Methods are useful in multidimensional system applications. We use Mahalanobis distance (MD) for constructing a measurement scale for the multidimensional systems and the principles of Taguchi Methods for optimizing the system. Therefore, we refer to this procedure as the Mahalanobis-Taguchi-System (MTS). The measures and methods used in MTS are data analytic rather than usual probability based inference. In this paper, a detailed procedure of MTS is explained with two case studies.