Taguchi refers to experimental design as “off-line quality control” because it is a method of ensuring good performance in the design stage of products or processes. Some experimental designs, however, such as when used in evolutionary operation, can be used on-line while the process is running.

Taguchi developed a method for designing experiments to investigate how different parameters affect the mean and variance of a process performance characteristic that defines how well the process is functioning.

Another difference between DOE via traditional and the Taguchi method is how the collected data are analyzed. In the traditional analysis, the average values of the response data are used, whereas the Taguchi method utilizes both average and variation of data.

The usual steps to apply Taguchi experimental design [13] are: (a) to select the output variable(s) (response(s)) to be optimized; (b) to identify the factors (input variables) affecting output variable(s) and to choose the levels of these factors; (c) to select the appropriate Orthogonal Array; the arrays are found in …

The Taguchi method of quality control is an approach to engineering that emphasizes the roles of research and development (R&D), and product design and development in reducing the occurrence of defects and failures in manufactured goods.

The Taguchi method is a statistical tool developed by Genier Taguchi (1940) a Japanese engineer, proposed a model for experiment design. The Taguchi’s orthogonal array L9 (3^4) is used in order to estimate the factors that influence the performance criteria and also which factors are more important than others.

Available in Excel with the XLSTAT software. The Taguchi method is a method introduced by Genichi Taguchi (Genichi and Wu, 1980) which is a method of experimental design providing an improvement to full and fractional factorial designs. It consists in using orthogonal tables, which have been pre-established by G.

Genichi Taguchi, a Japanese engineer, proposed several approaches to experimental designs that are sometimes called “Taguchi Methods.”. These methods utilize two-, three-, and mixed-level fractional factorial designs.

Conventionally, one can view this as an experiment in five factors. Taguchi has pointed out the usefulness of viewing it as a set-up of three inner array factors (turns, gauge, ferric %) over which we have design control, plus an outer array of factors over which we have control only in the laboratory (temperature, battery voltage).

Large screening designs seem to be particularly favored by Taguchi adherents. Taguchi refers to experimental design as “off-line quality control” because it is a method of ensuring good performance in the design stage of products or processes.

Taguchi refers to experimental design as “off-line quality control” because it is a method of ensuring good performance in the design stage of products or processes.