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Taguchi Methods® and Robust Design

In: Empirical Modeling and Data Analysis for Engineers and Applied Scientists

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  • Scott A. Pardo

    (Ascensia Diabetes Care)

Abstract

Dr. Genichi Taguchi (Taguchi and Wu 1980) described methods for using designed experiments in designing and improving products and processes. The Taguchi approach differs from the methods described in previous chapters, mostly due to their lack of fitting polynomial models to data. Nevertheless, Taguchi methods can be a useful tool in developing product or process designs. We will describe some of the rudiments of his methods, together with some additional ideas. The elements we will consider are the quadratic loss function and signal-to-noise ratios, control and noise parameters, and the designs referred to as orthogonal arrays.

Suggested Citation

  • Scott A. Pardo, 2016. "Taguchi Methods® and Robust Design," Springer Books, in: Empirical Modeling and Data Analysis for Engineers and Applied Scientists, chapter 0, pages 223-239, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-32768-6_15
    DOI: 10.1007/978-3-319-32768-6_15
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