ISE 135 In-class exercise (Groups of max. 3 students)
Fractional Factorial Design
You need to answer the following questions and submit a word document to CANVAS with your answers (include ANOVA table and required plots)
Consider a 25-1 design below. Note that Basic design is already created using 24 runs.
- Create the 5th column (column of factor E –look at the rule to create it on slide 14 pf Fractional Factorial Design lecture slides)
- What would be the defining relationship and generator in this design? (i.e. Defining relationship when I=?, generator is when a factor is generated by using other factor columns). Minitab will also tell you what the generator of this /1/2 fractional design of 25 experiment once you create the design.
- Calculate the main effect of A manually (using contrast)
- Enter the data to Minitab and analyze the data and make conclusions. Be careful- this is a single replicate, so you need to do some extra steps to create an ANOVA table.
- If your aim was to find the best combination of factor levels that maximize your response, what would they be? (look at the effects plots to see how response is affected when factor levels were changed from low to high, and determine, which levels for each factor should be selected to get the highest response)
Basic Design | Treatment Combination | Yield | |||||
Run | A | B | C | D | E | ||
1 | – | – | – | – | e | 8 | |
2 | + | – | – | – | a | 9 | |
3 | – | + | – | – | b | 34 | |
4 | + | + | – | – | abe | 52 | |
5 | – | – | + | – | c | 16 | |
6 | + | – | + | – | ace | 22 | |
7 | – | + | + | – | bce | 45 | |
8 | + | + | + | – | abc | 60 | |
9 | – | – | – | + | d | 6 | |
10 | + | – | – | + | ade | 10 | |
11 | – | + | – | + | bde | 30 | |
12 | + | + | – | + | abd | 50 | |
13 | – | – | + | + | cde | 15 | |
14 | + | – | + | + | acd | 21 | |
15 | – | + | + | + | bcd | 44 | |
16 | + | + | + | + | abcde | 63 |