A new model and class of designs for mixture experiments with process variables

Abstract

Experiments that involve the blending of several components are known as mixture experiments. In some mixture experiments, the response depends not only on the proportion of the mixture components, but also on the processing conditions, A new combined model is proposed which is based on Taylor series approximation and is intended to be a compromise between standard mixture models and standard response surface models. Cost and/or time constraints often limit the size of industrial experiments. With this in mind, we present a new class of designs that will accommodate the fitting of the new combined model.

Keywords:

• central composite design
• mixture experiments
• process variables
• simplex design

Additional information

Notes on contributors

Scott Kowalski

John A. Cornell