Comparer des méthodes

	Robust Box-Behnken Design	Planification Composite Centrale
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1960 (BBD); robust integration practice emerged 1990s–2000s	1951
Auteur d'origine	Box & Behnken (BBD foundation); robust integration drawing on Taguchi (1986) and Myers et al.	George E. P. Box and K. B. Wilson
Type	Experimental design with robustness optimization	Response surface experimental design
Source fondatrice	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., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45.
Alias	Robust BBD, BBD robust parameter design, robust response surface BBD, noise-robust Box-Behnken	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Apparentées	4	3
Résumé	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.	Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing.