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Dissenys Composats Centrals×Metodologia de Superfície de Resposta (RSM)×
CampDisseny experimentalDisseny experimental
FamíliaProcess / pipelineHypothesis test
Any d'origen19511951
Autor originalGeorge E. P. Box and K. B. WilsonGeorge E. P. Box & K. B. Wilson
TipusResponse surface experimental designSecond-order polynomial response surface model
Font seminalBox, 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. DOI ↗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. link ↗
ÀliesCCD, Box-Wilson design, central composite response surface design, rotatable central composite designRSM, Central Composite Design, Box-Behnken Design, CCD
Relacionats37
ResumCentral 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.Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.
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ScholarGateCompara mètodes: Central Composite Design · Response Surface Methodology. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare