Optimal experiment designs that combine mixture, process and categorical inputs
This presentation provides practical aspects for combining mixture, process and categorical variables into one optimal experiment-design. It covers an innovative way to minimize runs via a specialized “KCV” model (named for the inventors: Kowalski, Cornell and Vining). Furthermore, the talk details options for structuring combined designs into a split plot, which makes them far more do-able. All of these design tools come together in a case study on making chocolate chip cookies with delightful texture and taste. Attend this webinar to expand your horizons for deploying design of experiments (DOE) to simultaneously optimize product and process improvement.