Methoden vergelijken

	Response Surface Methodology (RSM)	Taguchi-methode (Orthogonale Arrays, Signaal-ruisverhouding)
Vakgebied	Experimenteel ontwerp	Experimenteel ontwerp
Familie	Hypothesis test	Hypothesis test
Jaar van ontstaan	1951	1987
Grondlegger	George E. P. Box & K. B. Wilson	Genichi Taguchi
Type	Second-order polynomial response surface model	Parametric robust design methodology
Oorspronkelijke bron	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.	Taguchi, G. (1987). System of Experimental Design. UNIPUB/Kraus. ISBN: 978-0527916312
Aliassen	RSM, Central Composite Design, Box-Behnken Design, CCD	Taguchi robust design, orthogonal array design, S/N ratio method, Taguchi Yöntemi (Ortogonal Dizi, S/N Oranı)
Verwant	7	3
Samenvatting	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.	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.