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

Combined Array Designs in Robust Parameter Experiments

This posting introduces the use combined arrays in Robust Parameter Designs. Combined array designs have both controllable and noise factors in the same experimental design.   The previous posting describes Taguchi Parameter Designs using crossed arrays consisting of an inner array containing the controllable factors and an outer array containing the noise factors. Continue reading Combined Array Designs in Robust Parameter Experiments