Comparer des méthodes

	Planification d'Expériences	Planification Composite Centrale
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1935	1951
Auteur d'origine	Ronald A. Fisher	George E. P. Box and K. B. Wilson
Type	Experimental planning framework	Response surface experimental design
Source fondatrice	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.	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	DOE, experimental design, factorial experimentation, planned experimentation	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Apparentées	3	3
Résumé	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.	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.