Robust Parameter Design

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 105)

Just as success in competitive sports, finding process settings and product design parameters that are “prepared” against any eventuality or uncertainty is also the basic idea followed in industry to obtain robust processes and products. In this chapter we consider robustness with respect to variation in uncontrollable factors, also called noise factors, a problem that has received the name “Robust Parameter Design” (RPD), a term coined by Taguchi. Genichi Taguchi [149], a textile engineer with a training in statistics, introduced a series of innovative ideas in designed experiments and process optimization which have had strong influence in the way we look at process optimization today. Some of Taguchi’s ideas and concepts have been criticized by several authors, mainly in the USA. This chapter first discusses the main ideas behind Taguchi’s approach to the RPD problem. In later sections, we describe how the same goals and ideas introduced by Taguchi can be approached using response surface techniques, including techniques developed relatively recently in answer to the controversy created by Taguchi in quality control and Applied Statistics circles.


Mean Square Error Controllable Factor Whey Protein Unbiased Estimator Noise Factor 
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Copyright information

© Springer Science+Business Media, LLC 2007

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