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क्षेत्रप्रयोगात्मक अभिकल्पप्रयोगात्मक अभिकल्प
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष1951 (RSM); simulation integration widely adopted from 1980s onward1960
प्रवर्तकBox & Wilson (RSM foundation); Kleijnen and others for simulation-based extensionsGeorge E. P. Box and Donald W. Behnken
प्रकारExperimental optimization methodResponse surface design (incomplete three-level factorial)
मौलिक स्रोतMyers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. ISBN: 978-1118916025Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475. DOI ↗
उपनामSA-RSM, simulation-based RSM, computer simulation RSM, metamodel-assisted RSMBBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
संबंधित63
सारांशSimulation-assisted response surface methodology (SA-RSM) combines computer simulation models — such as finite element analysis, computational fluid dynamics, or discrete-event simulation — with the statistical framework of response surface methodology to efficiently map, model, and optimize system responses. Instead of running physical experiments, the researcher executes simulation runs at design points prescribed by an RSM design, fits a polynomial metamodel (surrogate) to the simulation outputs, and uses that metamodel to locate optimal factor settings.The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test.
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