Author(s)

Dong Chun Kim & Douglas L. Jones

Abstract

Since Taguchi methods have been introduced in many major American industries, quality improvement experiments have emphasized optimizing the mean value of the performance characteristics, while placing secondary attention on the variance. However, some weaknesses in Taguchi methods have been identified, and some controversies still exist. As an alternative, several researchers have combined important aspects of the Taguchi methods with classical response surface methods. The focus in these enhancements has been placed on building models that involve direct interactions between the control factors (C*C), and establishing separate models for the

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