Background of Taguchi Concepts

Since variation in product performance is similar to quality loss, analysis of variance (ANOVA) will be carried out to interpret experimental data and factor effects. ANOVA is a statistically based decision tool for detecting differences in average performance of groups of 

Phadke, following Taguchi, measures the quality of a product in terms of the total loss to society due to functional variation and harmful side effects. Under ideal conditions, the loss would be zero, that is, the greater the loss, the lower the quality (Phadke (1989)). In the following, how this quality loss can be quantified, factors that influence this loss, how this quality loss can be avoided are discussed. 

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