Confronta i metodi

	Progettazione di Esperimenti Multi-Risposta	Disegno Centrale Composito
Campo	Disegno sperimentale	Disegno sperimentale
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1980 (desirability function formalization); DoE roots from Fisher, 1920s–1930s	1951
Ideatore	Derringer & Suich (desirability function); Montgomery (systematic DoE integration)	George E. P. Box and K. B. Wilson
Tipo	Experimental optimization methodology	Response surface experimental design
Fonte seminale	Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219.	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	Multi-response DoE, Multiple-response optimization, Multi-objective DoE, MRDoE	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Correlati	4	3
Sintesi	Multi-response Design of Experiments (MRDoE) extends classical DoE to situations where several response variables must be optimized simultaneously. Rather than tuning factors for a single output, the experimenter fits separate regression or response-surface models for each response, then combines them — most often via Derringer and Suich's desirability function — into a single composite score that guides the search for factor settings satisfying all response targets at once.	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.