Methoden vergleichen

	Robuster Box-Behnken-Entwurf	Box-Behnken-Design
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1960 (BBD); robust integration practice emerged 1990s–2000s	1960
Urheber	Box & Behnken (BBD foundation); robust integration drawing on Taguchi (1986) and Myers et al.	George E. P. Box and Donald W. Behnken
Typ	Experimental design with robustness optimization	Response surface design (incomplete three-level factorial)
Wegweisende Quelle	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
Aliasnamen	Robust BBD, BBD robust parameter design, robust response surface BBD, noise-robust Box-Behnken	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
Verwandt	4	3
Zusammenfassung	Robust Box-Behnken design combines the efficiency of the Box-Behnken design (BBD) — a three-level response surface design requiring no corner runs — with robust parameter design principles to identify factor settings that optimize the mean response while simultaneously minimizing sensitivity to uncontrollable noise factors. It is widely applied in manufacturing, chemical engineering, and product development when both performance and consistency under real-world variation matter.	The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test.