Advanced Design of Experiments (DOE) Training
This 3-day course builds on the fundamental Design of Experiments (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 process optimization techniques are covered in detail. It is assumed that participants have taken Design of Experiments (or equivalent).
Contact us to register or download this form and follow the instructions for registation.
Course Content
Review of DOE Basics
- Review of Definitions
- Review of Factorial Designs
- Review of Design Resolution
Unreplicated Designs
- Identifying Significant Effects
- Review of Model Development
Reflected Designs
- Reflected Designs to Improve Resolution
- Mathematical Model Development
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
- Split-Plot Designs
Optimization
- Multi-Level Designs
- Central Composite Designs
- Response Surface Methods
Missing Data
- Preventing Missing Responses
- Analyzing Incomplete Data Sets
Mixture Designs
- Simplex Lattice Designs and Models
- Simplex Centroid Designs and Models
- Extreme Vertices Designs
Contact us to register or download this form and follow the instructions for registation.