ABSTRACT
Quality loss function and static signal-to-noise ratios A product can be used under various conditions, so evaluating the quality loss of a product is difficult. This chapter introduces the quality loss function proposed by Taguchi. Quality loss function, which is an efficient and economical method, can be used not only to quantify “quality,” but also can be employed to compare various quality losses caused by different products or process designs. Additionally, this chapter discusses some commonly used static signal-to-noise ratios. The signal-to-noise ratio is one type of statistic to measure the robustness of the quality of a particular product or process. The term “signalto-noise ratio” is usually abbreviated as the SN ratio and has a close relationship with loss function; a higher SN ratio means a lower loss. Taguchi effectively applies the ideas of orthogonal arrays and the SN ratio to obtain an optimal control factor level combination with a parameter design method, thereby reducing the system sensitivities to various noises and improving the robustness.
