Example of Create Taguchi Design for a dynamic design

An engineer wants to increase the robustness of a measurement system. A measurement system is dynamic because as the input signal changes, the output response changes. Ideally, a measurement system should have a 1:1 correspondence between the value being measured (signal factor) and the measured response (system output). Similarly, zero should serve as the fixed reference point (all lines should be fit through the origin) because an input signal of zero should result in a measurement of zero.

The engineer has identified three control factors, each with two levels (sensor, output device, and relay). The signal factor is the actual value of the item being measured and the output response is the measurement. Also the engineer has identified two noise conditions.

Choose Stat > DOE > Taguchi > Create Taguchi Design.
Under Type of Design, select 2-Level Design. Each factor has 2 levels.
In Number of factors, select 3. The experiment has 3 control factors and 2 noise factors.
Click Designs.
Select the L8 design.
Select Add a signal factor for dynamic characteristics.
Click OK.
Click Factors.
Under Signal Factor, in Level Values, enter 1 2.
Click OK in each dialog box.

Interpret the results

Minitab displays a summary of the L8 design, which includes 3 factors, 8 runs, and 1 signal factor.

The Minitab worksheet shows the settings for each factor for all 16 experimental runs. The design was created using the default settings of 1 for the first setting and 2 for the second setting, although you can enter actual settings for each level.

Design Summary

Taguchi Array	L8(2^3)
Factors:	3
Runs:	8
Signal:	Signal

Columns of L8(2^7) array: 1 2 4

C1	C2	C4	C4
A	B	C	Signal
1	1	1	1
1	1	1	2
1	1	2	1
1	1	2	2
1	2	1	1
1	2	1	2
1	2	2	1
1	2	2	2
2	1	1	1
2	1	1	2
2	1	2	1
2	1	2	2
2	2	1	1
2	2	1	2
2	2	2	1
2	2	2	2