Sammenlign metoder

	Multi-respons Responsflade-metodologi	Central Composite Design
Fagområde	Forsøgsdesign	Forsøgsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1980 (Derringer & Suich desirability function); RSM roots ~1951 (Box & Wilson)	1951
Ophavsperson	Derringer & Suich (desirability function approach); Myers & Montgomery (RSM framework)	George E. P. Box and K. B. Wilson
Type	Experimental optimization technique	Response surface experimental design
Oprindelig kilde	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.
Aliasser	Multi-response RSM, MRSM, Multi-objective RSM, Multiple response optimization	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Relaterede	6	3
Resumé	Multi-response Response Surface Methodology (MRSM) extends classical RSM to situations where an experiment generates two or more response variables that must be optimized simultaneously. Rather than tuning factor settings for a single output, MRSM fits a separate second-order polynomial model for each response, then combines them — most commonly via Derringer and Suich's desirability function — to find factor settings that satisfy all objectives 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.