Design Of Experiments

1 of 8DOE Sequence 1

Determine the following

Design Of Experiments

2 of 8DOE Sequence 2

Select Initial Experiment Design

Generally, use approx. 25% of resources for first experiment.

Design Of Experiments

3 of 8DOE Sequence 3

Determine Sample Size For Each Run

Only use replication for small full factorials. Repetition is generally more resource efficient. Variance as a response requires repetition or replication.

Design Of Experiments

4 of 8DOE Sequence 4

Run The Experiment

Design Of Experiments

5 of 8DOE Sequence 5

Location

Find the MSFE based on the standard deviation of noise effects.

Spread

Use repetitions and compute the standard deviation of the repetitions for each run.

Code data as ln(s2) and treat as a location effect.

OR

Leave uncoded. The effect is the big s2 divided by the small s2. Compare to the critical value of F.

Close

Location

Find the MSFE based on the standard deviation of noise effects.

Spread

Use repetitions and compute the standard deviation of the repetitions for each run.

Code data as ln(s2) and treat as a location effect.

OR

Leave uncoded. The effect is the big s2 divided by the small s2. Compare to the critical value of F.

Close

Location And Spread

Use graphical methods.

Close

Proportion

Code data as sin-1 (P1/2) and treat as a location effect

OR

leave uncoded and find the MSFE for proportion.

Count

Code data as (c + 3/8)1/2 and treat as a location effect.

Close

Analyze The Results

Determine the significance of effects by using the decision tree below.

Design Of Experiments

6 of 8DOE Sequence 6

Is An Additional Experiment Required?

Design Of Experiments

7 of 8DOE Sequence 7

Check The Model

Perform an analysis of residuals

Design Of Experiments

8 of 8DOE Sequence 8

Implement The Improvement