Worksheets/Week6
Revision as of 09:02, 17 October 2019 by Kevin Dunn (talk | contribs)
Part 1
Case study: Achieve a stability value of 50 days or more, for a new product. We had a full factorial set of experiments in 3 factors:
Factor name | Description | Low value | High value | Type of factor |
---|---|---|---|---|
A | Enzyme strength | 20% | 30% | Numeric factor |
B | Feed concentration | 75% | 85% | Numeric |
C | Mixer type | R | W | Categorical |
We will show what we loose out if we pretend we only did half the experiments. In other words, we actually have 8 experiments, but we will see what happens if we only use 4 of them.
Part 2
Data from a bioreactor experiment is available, were we were investigating four factors:
- A = feed rate: 5 g/min or 8 g/min
- B = initial inoculate amount: 300 g or 400 g
- C = feed substrate concentration: 40 g/L or 60 g/L
- D = dissolved oxygen set-point: 4 mg/L or 5 mg/L
The 16 experiments from a full factorial, 24, were randomly run, and the yields, y, the outcome variable were given in standard order: [60, 59, 63, 61, 69, 61, 94, 93, 56, 63, 70, 65, 44, 45, 78, 77]