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प्रयोगों का संकर डिज़ाइन×प्रतिक्रिया सतह पद्धति (RSM)×
क्षेत्रप्रयोगात्मक अभिकल्पप्रयोगात्मक अभिकल्प
परिवारProcess / pipelineHypothesis test
उद्भव वर्ष1989–2000s1951
प्रवर्तकMultiple contributors; notably Sacks, Welch, Mitchell & Wynn (computer experiments); broader hybrid concept developed across 1980s–2000sGeorge E. P. Box & K. B. Wilson
प्रकारCombined experimental design strategySecond-order polynomial response surface model
मौलिक स्रोतSantner, T. J., Williams, B. J., & Notz, W. I. (2003). The Design and Analysis of Computer Experiments. Springer. ISBN: 978-1441929921Box, 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 ↗
उपनामhybrid DOE, combined experimental design, mixed experimental design, hybrid experimental strategyRSM, Central Composite Design, Box-Behnken Design, CCD
संबंधित47
सारांशHybrid design of experiments (hybrid DOE) combines two or more experimental design strategies within a single study to exploit the complementary strengths of each. Common combinations include factorial or fractional-factorial arrays paired with computer simulation runs, space-filling Latin hypercube designs merged with response surface augmentations, or Taguchi orthogonal arrays integrated with response surface methodology. The approach is widely used when a single design type cannot efficiently cover all phases of an engineering investigation — from screening through to optimization.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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