Advanced Design of Experiments

This course builds on the fundamental DOE concepts and experimental designs learned in the Design of Experiments course. This course teaches participants how to efficiently build upon results obtained from screening (e.g. fractional factorial) experiments. More advanced experimental designs necessary for optimizing processes are covered in detail. It is assumed that participants have taken Design of Experiments (or equivalent).

Seminar Content (3 Days)

1. Review of DOE Basics
   • Review of Definition
   • Review of Factorial Designs
   • Review of Experimentation Methodology
   • Review of Fractional Factorials/Resolution
   • Review of Model Development
2. Reflected Designs
   • Fold-over designs to improve resolution
3. Multi-level Designs & Analysis of Variance (ANOVA)
   • Fixed Effect Model
   • Random Effects Model
   • Mixed Effects Model
4. Nesting & Blocking
   • Description of Nested Factors
   • Analysis of Nested Factors
   • Description of Blocking Variables
   • Designs with Blocking Variables
5. Missing Data
   • Preventing Missing Responses
   • Analyzing Incomplete Data Sets
6.  Optimization
   • Multi-Level Designs
   • Response Surface Methods
   • Path of Steepest Ascent/Descent
   • Central Composite Designs
   • Tolerance Design/Optimization
7. Introduction to Experiments for Mixtures/Formulations