
1. Introduction

Definition
of experimental design

Uses

Steps

2. Assumptions

Measurement
system capable

Process stable

Simple model

Residuals
wellbehaved


3. Choosing
an Experimental Design

Set objectives

Select process
variables and levels

Select experimental
design

Completely
randomized designs

Randomized
block designs

Full factorial
designs

Fractional
factorial designs

PlackettBurman
designs

Response
surface designs

Adding center
point runs

Improving
fractional design resolution

Threelevel
full factorial designs

Threelevel,
mixedlevel and fractional factorial designs

4. Analysis
of DOE Data

DOE analysis
steps

Plotting DOE data

Modeling DOE data

Testing and revising DOE
models

Interpreting DOE results

Confirming DOE results

DOE examples

Full factorial example

Fractional factorial example

Response surface example


5. Advanced
Topics

When classical designs
don't work

Computeraided designs

DOptimal designs

Repairing a design

Optimizing a process

Single response case

Multiple response case

Mixture designs

Mixture screening designs

Simplexlattice designs

Simplexcentroid designs

Constrained mixture designs

Treating mixture and process
variables
together

Nested variation

Taguchi designs

John's 3/4 fractional factorial
designs

Small composite designs

An EDA approach to
experiment design

6. Case
Studies

Eddy current probe sensitivity
study

Sonoluminescent light
intensity study


7. A
Glossary of DOE Terminology 
8. References 
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