Tag Archives: Combined Arrays

Analysis of a Combined-Array Design in A Robust Parameter Experiment

This posting presents the analysis of results from the Robust Parameter Design Experiment introduced in the previous posting.  The five factors are A = CO2 pressure (bar), B = CO2 temperature oC, C = peanut moisture (% by wt), D = CO2 flow rate (liters/min), and E = peanut particle size (mm).   The factor E is the noise factor).   The purpose of the experiment is to show the effects of these factors on Solubility, S, or mg of oil removed from the peanuts.  Continue reading Analysis of a Combined-Array Design in A Robust Parameter Experiment

Estimating Interaction Effects using a Combined-Array Design in Robust Parameter Experiments

This posting presents another example illustrating the advantage of combined-array experiments in Robust Parameter Designs over the Taguchi crossed-array designs.  Kilgo (1988)  presents an example of a 25-1 fractional factorial experiment providing data to construct a model for estimating the mean response.  We modify the use of the experiment to make it relevant to a Robust Parameter Design experiment. Continue reading Estimating Interaction Effects using a Combined-Array Design in Robust Parameter Experiments