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	Pełny schemat czynnikowy w zastosowaniach przemysłowych	Central Composite Design
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–1978	1951
Twórca	Ronald A. Fisher	George E. P. Box and K. B. Wilson
Typ	Experimental design / factorial experiment	Response surface experimental design
Źródło pierwotne	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	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.
Inne nazwy	industrial FFD, full factorial experiment, complete factorial design, 2^k factorial design	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Pokrewne	3	3
Podsumowanie	Full factorial design (FFD) applied in industrial settings is a structured experimental methodology in which every combination of factor levels is tested, enabling engineers to quantify main effects and all interaction effects among process or product variables. Widely used in manufacturing, chemical processing, materials science, and quality engineering, it provides a complete picture of how input factors jointly influence a response variable such as yield, strength, or defect rate.	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.