Robustness of D-optimal experimental designs for mixture studies

The principle objective of mixture experiments is to assess the influence of the proportions and amounts of mixture ingredients, along with the effects of relevant processing variables, on performance characteristics of a mixture. Experimental designs, called "mixture designs", have been proposed to guide such investigations. This paper explores the effectiveness of some commonly used designs,including D-optimal designs, in providing predictions with relatively uniform variance from alternative model forms.