Structure your data in the worksheet so that each row contains the control factors in the inner array and the response values from one complete run of the noise factors in the outer array. The maximum number of response columns you can enter is 50. The minimum number of response columns you can enter depends on your design. You can enter a single response column only if:
In all other cases, you must enter a minimum of 2 response columns.
Here is an example:
Time |
Pressure |
Catalyst |
Temperature |
Noise 1 |
Noise 2 |
1 |
1 |
1 |
1 |
50 |
52 |
1 |
1 |
1 |
2 |
44 |
51 |
1 |
2 |
2 |
1 |
56 |
59 |
1 |
2 |
2 |
2 |
65 |
77 |
2 |
1 |
2 |
1 |
47 |
43 |
2 |
1 |
2 |
2 |
42 |
51 |
2 |
2 |
1 |
1 |
68 |
62 |
2 |
2 |
1 |
2 |
51 |
38 |
This example, which is an L8 (2**4), has four factors in the inner array (Time, Pressure, Catalyst, and Temperature). Recall, the inner array represents the control factors. There are two noise conditions in the outer array (Noise 1 and Noise 2). There are two responses - one for each noise condition - in the outer array for each run in the inner array.
Note |
As an alternative, you could have created an L16 design, which generates 2 runs for each combination of factor settings. Then you would enter your reponse data for both noise conditions in a single response column. Since you would now have two rows with the same combination of factor settings, you would enter the response for Noise 1 in one of these rows and the response for Noise 2 in the other row. Minitab analyzes the data for these designs in exactly the same way. |
For dynamic designs, you must have a signal factor in your worksheet. See Adding a signal factor to an existing design.
You can use Analyze Taguchi Design, which will prompt you to define your design, if you have a design and response data in your worksheet that was: