(96a) Highly Efficient DOE for Rapid Process Development

To maximize your educational experience it will good that you follow along my presentation of case studies using DOE software. Prior to class, please download the software from www.statease.com/trial/. Also, download data files, the annotated presentation slides and the Handbook for Experimenters from www.statease.com/AIChE2023.

Via a series of case studies, this short-course teaches multifactor design-of-experiment (DOE) tools for process development. By strategically deploying DOE, chemical engineers can rapidly screen factors down to a vital few, characterize their main effects and interactions and achieve optimal settings for peak process performance. See how these tried-and-true statistical methods, made easy by software, empower experimenters to quickly converge on the “sweet” spot—factor settings that meet all product specifications at maximum yield and minimal cost. The presentation is geared to experimenters with only a basic knowledge of statistics, e.g., p-values, r-squared and regression modeling.