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آزمایش عاملی کسری پایلوت×روش سطح پاسخ (RSM)×
حوزهطراحی آزمایشطراحی آزمایش
خانوادهProcess / pipelineHypothesis test
سال پیدایش1950s–1960s (fractional factorial foundation); pilot study integration formalized in 20th century DOE practice1951
پدیدآورBox, Hunter & Hunter (fractional factorial); pilot study concept developed broadly in industrial and clinical experimentationGeorge E. P. Box & K. B. Wilson
نوعExperimental screening design (pilot phase)Second-order polynomial response surface model
منبع بنیادینMontgomery, 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. link ↗
نام‌های دیگرpilot FFE, screening pilot design, pilot fractional factorial, pilot FF screening studyRSM, Central Composite Design, Box-Behnken Design, CCD
مرتبط57
خلاصهA pilot fractional factorial experiment is a small-scale preliminary study that uses a fractional factorial design — testing only a subset of all possible factor combinations — to screen multiple factors simultaneously before committing to a full-scale investigation. It provides early estimates of effect sizes, variance, and feasibility at substantially reduced cost and participant burden compared to a full factorial pilot or a full-scale trial.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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ScholarGateمقایسهٔ روش‌ها: Pilot Fractional Factorial Experiment · Response Surface Methodology. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare