ABSTRACT
Design of experiments is a very powerful tool that can be used in different areas in order to reduce the number of experiments needed to decide which factors influence dependent variables. Optimal experimental design is a powerful and flexible tool for generating efficient experimental designs, enabling a reduction in the number of experimental trials and, thus, reducing costs and saving time and money. Simplex-centroid designs are widely used for food development and for the assessment of different factors on processes. In general, the methodology used to construct mixture designs involving process variables is a combination of two designs, one being a mixture design for the mixture components and the other being factorial or fractional factorial design for the process variables. Usually, in problems of mixture experiments including process variables, the goal is to determine the proportions of the mixture components along with situations of process conditions, in order to satisfy some property or characteristic of interest involving the variable response.
