Training Module: Further Topics in Design of Experiments

This module continues our other design of experiments training courses with STATGRAPHICS.

Design of Experiments Training Course Module length: 0.5 day

Outline Of These DOE Training Courses:

Response Surface Experiments

• Central Composite Designs
• Three-level Factorials
• Box-Behnken Designs
• Draper-Lin Designs

Mixture Experiments

• Mixture Models
• Simplex-Lattice and Simplex-Centroid Designs
• Extreme Vertices Designs
• Analyzing Mixture Experiments

Multiple Response Optimization

• Constructing Desirability Functions
• Generating Overlay Plots

D-Optimal Designs

• Generating Candidate Runs
• Selecting the Optimal Subset
• Using D-Optimal Designs to Fix Botched Experiments

Robust Parameter Designs

• Robust Operating Conditions
• Control Variables and Noise Variables
• Using Taguchi's Orthogonal Arrays
• Using Montgomery's Combined Designs

Variance Component Designs

• Nested Factors
• Estimating Variance Components