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