Comparar métodos

	Método Taguchi (Arranjos Ortogonais, Razão Sinal-Ruído)	Metodologia de Superfície de Resposta (RSM)
Área	Delineamento experimental	Delineamento experimental
Família	Hypothesis test	Hypothesis test
Ano de origem	1987	1951
Autor original	Genichi Taguchi	George E. P. Box & K. B. Wilson
Tipo	Parametric robust design methodology	Second-order polynomial response surface model
Fonte seminal	Taguchi, G. (1987). System of Experimental Design. UNIPUB/Kraus. ISBN: 978-0527916312	Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45.
Outros nomes	Taguchi robust design, orthogonal array design, S/N ratio method, Taguchi Yöntemi (Ortogonal Dizi, S/N Oranı)	RSM, Central Composite Design, Box-Behnken Design, CCD
Relacionados	3	7
Resumo	The Taguchi Method is a robust design methodology developed by Genichi Taguchi, first systematized in his 1987 work, that uses orthogonal arrays to study many control factors in a minimum number of experimental runs while quantifying product or process quality through Signal-to-Noise (S/N) ratios. Its central goal is to design products and processes that are insensitive — or robust — to uncontrollable noise factors such as environmental variation, material inconsistency, or user behavior.	Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.