Further Topics in Design of Experiments
This module continues the discussion of using STATGRAPHICS for DOE.

Module length: 0.5 day

Outline:

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

Designs with Inner and Outer Arrays

Robust Operating Conditions
Control Variables and Noise Variables
Selecting Orthogonal Arrays
Using Taguchi's Signal-to-Noise Ratios