Process / pipelineEngineering methods
Central Composite Design — Response Surface Experimental Design
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.
Find Topic with PaperMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- 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. DOI: 10.1111/j.2517-6161.1951.tb00067.x ↗
- Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443
Related methods
Referenced by
Adaptive Fractional Factorial ExperimentBayesian Box-Behnken DesignBayesian Design of ExperimentsBayesian Fractional Factorial DesignBayesian Full Factorial DesignBox-Behnken DesignDesign of experimentsHybrid Box-Behnken DesignHybrid Central Composite DesignHybrid design of experimentsHybrid Fractional Factorial DesignHybrid Full Factorial DesignHybrid Response Surface MethodologyIndustrial applications full factorial designIndustrial Applications Response Surface MethodologyMixture DesignMulti-response Design of ExperimentsMulti-response Response Surface MethodologyOptimal Experimental DesignOptimization-assisted Box-Behnken designOptimization-assisted central composite designOptimization-assisted design of experimentsOptimization-assisted fractional factorial designOptimization-assisted response surface methodologyPlackett-Burman DesignRisk-based Box-Behnken DesignRisk-based central composite designRisk-based Response Surface MethodologyRobust Box-Behnken DesignRobust Central Composite DesignRobust Fractional Factorial DesignRobust Response Surface MethodologySensitivity Analysis with Box-Behnken DesignSensitivity analysis with central composite designSensitivity analysis-integrated response surface methodologySimulation-assisted design of experimentsSimulation-assisted fractional factorial designSimulation-assisted full factorial designSimulation-assisted response surface methodology