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5.
Process Improvement
1.
Introduction
Definition of experimental design
1.
Uses
2.
Steps
3.
2.
Assumptions
Measurement system capable
1.
Process stable
2.
Simple model
3.
Residuals well-behaved
4.
3.
Choosing an Experimental Design
Set objectives
1.
Select process variables and levels
2.
Select experimental design
Completely randomized
designs
1.
Randomized block designs
2.
Full factorial designs
3.
Fractional factorial designs
4.
Plackett-Burman designs
5.
Response surface designs
6.
Adding center point runs
7.
Improving fractional design
resolution
8.
Three-level full factorial
designs
9.
Three-level, mixed-level and
fractional factorial designs
10.
3.
4.
Analysis of DOE Data
DOE analysis steps
1.
Plotting DOE data
2.
Modeling DOE data
3.
Testing and revising DOE models
4.
Interpreting DOE results
5.
Confirming DOE results
6.
DOE examples
Full factorial example
1.
Fractional factorial example
2.
Response surface example
3.
7.
5. Process Improvement
http://www.itl.nist.gov/div898/handbook/pri/pri.htm (1 of 2) [5/7/2002 4:01:41 PM]
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