Product and Process Improvement Using Mixture-Process Variable Methods and Robust Optimization Techniques

Journal of Quality Technology vol. 41 issue 2 - April 2009

Abstract: [This abstract is based on the authors' abstract.] A process for producing low-fat mayonnaise investigates optimizing the raw material recipe and process variable levels. A mixture-process variable design was constructed and run as a split-plot experiment. Squared-error loss, mean-squared error, and bootstrap methods were used to develop optimal and robust solutions.

Keywords: Bootstrap methods; Factorial designs; Mixture design; Robust design; Optimization; Split-plot design