Porównaj metody

	Pełny schemat czynnikowy w zastosowaniach przemysłowych	Metodologia Powierzchni Odpowiedzi (RSM)
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Hypothesis test
Rok powstania	1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–1978	1951
Twórca	Ronald A. Fisher	George E. P. Box & K. B. Wilson
Typ	Experimental design / factorial experiment	Second-order polynomial response surface model
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	RSM, Central Composite Design, Box-Behnken Design, CCD
Pokrewne	3	7
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.	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.