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Multi-response Fractional Factorial Design

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.

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Multi-response Fractional Factorial Design of Experiments

Record tassonomico del metodo · process-pipeline / experimental-design

Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. · DOI 10.1080/00224065.1980.11980968
Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119492443

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Taxonomic bucketDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-response Response Surface Methodologymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-response Taguchi methodmachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.