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Row-Column Response Surface Designs

Summary: [This abstract is based on the authors' abstract.]

Response surface methodology (RSM) is a set of techniques for empirically studying processes by designing experiments, modelling the resulting data, and interpreting the fitted models. Factorial experiments are used to investigate the effects of process factors on quality response variables. Food processing variation is used as an example of how removing variations using blocking factors can lead to row-column designs. An algorithm is described for constructing factorial row-column designs in situations where the factors are quantitative and the data are to be analyzed by fitting a polynomial model.

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  • Topics: Process Management, Design of Experiments
  • Keywords: Response surface methodology (RSM),Process variability,Algorithm,Factorial designs,Food processing
  • Author: Gilmour, Steven G.; Trinca, Luzia A.
  • Journal: Journal of Quality Technology