Significance of signal-to-noise ratio in taguchi method

1. What is the use of SN ratio in Taguchi method?
2. What is noise factor in Taguchi method?
3. How do you calculate Taguchi signal-to-noise ratio?
4. Why is Taguchi method important?

What is the use of SN ratio in Taguchi method?

The S/N ratio is a statistic that combines mean and variance. The objective in robust design is to minimize sensitivity of a control characteristic to noise factors. There are basically three types of S/N ratios for optimization problems. In this work, our basic objective is to maximize the B/C ratio.

What is noise factor in Taguchi method?

In Taguchi designs, noise factors are factors that cause variability in the performance of a system or product, but cannot be controlled during production or product use. You can, however, control or simulate noise factors during experimentation.

How do you calculate Taguchi signal-to-noise ratio?

Taguchi experiments often use a 2-step optimization process. In step 1 use the signal-to-noise ratio to identify those control factors that reduce variability. In step 2, identify control factors that move the mean to target and have a small or no effect on the signal-to-noise ratio.

Why is Taguchi method important?

The popularity of Taguchi method is due to its practicality in designing high quality systems that provide much-reduced variance for experiments with an optimum setting of process control parameters.