dc.description.abstract |
Rotatable designs are mainly for the exploration of response surfaces. These designs provide the preferred
property of constant prediction variance at all points that are equidistant from the design center, thus improving the quality of
the prediction. Initially, they were constructed through geometrical configurations and several second order designs were
obtained. Full Factorial Design of Experiment provides the most response information about factor main effects and
interactions, the process model’s coefficients for all factors and interactions, and when validated, allows process to be
optimized. On the other hand, mixture designs are a special case of response surface designs where prediction and optimization
are the main goals. These designs usually predict all possible formulations of the ingredients however, little or no research has
been done incorporating rotatability with the mixture designs. This paper therefore aims at constructing Rotatable Simplex
Designs (RSDs) using the properties of Simplex - Lattice Designs (SLDs) in connection with Full Factorial Designs (FFDs). |
en_US |