Robust Parameter Design: A Response Surface Approach

Abstract

An alternative to Taguchi's robust parameter design has been recently presented. However, neither Taguchi's approach nor the alternative approach is capable of dealing satisfactorily with the frequently encountered siutations in which all the noise variables cannot be studied simultaneously. Based on the ideas from response surface modeling, linear models theory, and random effects models, we provide a method for estimation in the robust parameter design in such situations.

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