Optimize the Taguchi method, the signal-to-noise ratio, and the sensitivity

Abstract

Statistical quality control methods are a collection of strategies and scientific techniques to study many different complex production problems, which is an essential aspect of ensuring. The product is of a good enough quality to meet expectations. Quality control is a broad field with many subfields to research. One of the key parameters used in quality control is the signal-to-noise ratio (S/N). Which measures a product's quality by comparing the desired signal with the noise or unwanted variation output. The Taguchi method is an important statistical technique in quality control. Taguchi made contributions to the advancement and creation of sophisticated techniques in quality control models. The S/N ratio is an integral part of the Taguchi. That method is widely used in various manufacturing fields. The sensitivity analysis method is another important aspect of quality control that involves analyzing the impact of variations in the input factors on the output quality. Using the S/N ratio and sensitivity analysis, the Taguchi method can effectively improve product quality, reduce production costs, and minimize output variation. This makes the Taguchi method a good tool for quality control in various industries.