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	बहु-प्रतिक्रिया भिन्नात्मक गुणनखंडीय डिज़ाइन	[MISSING TRANSLATION]
क्षेत्र	प्रयोगात्मक अभिकल्प	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1961 (fractional factorial foundation); 1980 (multi-response desirability approach)	1935
प्रवर्तक	George E.P. Box, J. Stuart Hunter, and William G. Hunter (fractional factorial basis); Derringer & Suich (multi-response desirability extension)	Ronald A. Fisher
प्रकार	Experimental design with simultaneous multi-response optimization	Experimental planning framework
मौलिक स्रोत	Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
उपनाम	MRFFD, multi-response FFD, multi-objective fractional factorial design, simultaneous multi-response fractional factorial	DOE, experimental design, factorial experimentation, planned experimentation
संबंधित	4	3
सारांश	Multi-response fractional factorial design (MRFFD) applies a resolution-efficient fractional factorial experiment to study multiple response variables simultaneously. By running only a carefully chosen fraction of the full factorial treatment combinations, the experimenter gathers enough information to fit individual response models for each output and then optimize all responses jointly — typically via a composite desirability function — while keeping the number of experimental runs tractable.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.