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طراحی فاکتوریل کامل هیبریدی×طراحی ترکیبی مرکزی×
حوزهطراحی آزمایشطراحی آزمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1980s–2000s (building on Fisher's 1935 factorial framework)1951
پدیدآورDerived from classical factorial design theory (Fisher, 1935); hybrid extensions developed across engineering literature from the 1980s onwardGeorge E. P. Box and K. B. Wilson
نوعExperimental design strategyResponse surface experimental design
منبع بنیادینMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Box, 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 ↗
نام‌های دیگرhybrid factorial design, mixed full factorial design, combined factorial design, HFFDCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
مرتبط33
خلاصهHybrid full factorial design is an experimental strategy that applies a full factorial structure to a selected subset of factors — those believed to have the strongest interactions — while treating remaining factors with a reduced or fractional scheme. This hybrid approach balances the complete interaction information of a full factorial with the run-count efficiency of fractional designs, making it practical for studies with many factors where a pure full factorial would be prohibitively expensive.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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ScholarGateمقایسهٔ روش‌ها: Hybrid Full Factorial Design · Central Composite Design. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare