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Robuszt frakcionált faktoriális tervezés×Centrális Kompozit Terv – Válaszfelszíni Kísérlettervezés×
TudományterületKísérlettervezésKísérlettervezés
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve1980s (Taguchi's crossed-array approach); fractional factorial roots 1935–19451951
MegalkotóGenichi Taguchi (robust parameter design); fractional factorial foundations by Ronald Fisher and Frank YatesGeorge E. P. Box and K. B. Wilson
TípusExperimental design / robust parameter designResponse surface experimental design
AlapműMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Box, 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 ↗
Alternatív nevekrobust FFD, robust fractional factorial experiment, crossed-array fractional factorial, Taguchi-style fractional factorialCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Kapcsolódó23
ÖsszefoglalóRobust fractional factorial design combines the run-count efficiency of fractional factorial arrays with Taguchi's robust parameter design philosophy. By simultaneously manipulating control factors (inner array) and noise factors (outer array) — each structured as a fractional factorial — the method identifies factor settings that minimize product or process variation due to uncontrollable conditions, without requiring a full factorial experiment.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.
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ScholarGateMódszerek összehasonlítása: Robust Fractional Factorial Design · Central Composite Design. Letöltve 2026-06-19, forrás: https://scholargate.app/hu/compare