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Taguchi

Taguchi

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Taguchi

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These DOE arrays are based on the work of Genichi Taguchi. They are particularly popular in the field of robust design. A fundamental concept of this methodology is the classification of variables into two distinct groups: independent controlled variables and uncontrolled variables (sometimes called noise). The overall intent of this method is to explore how controllable variables can be used to mitigate the effects from the uncontrolled variables.  Consider the simple example of how the selection of a particular alloy for manufacturing could reduce the frequency of manufacturing outliers due to thermal effects (for example, a particular alloy is less sensitive instead of noise).

 

Usability Characteristics

•The Taguchi arrays have a resolution type III. However, unless there is intent to use Taguchi arrays specifically, in most cases it is recommended that you use the Fractional Factorial DOE with resolution III, which can result in Taguchi arrays in some conditions.
•The effects between the controlled variables are confounded with respect to their two-factor interactions so the controlled variables should be selected to have no interactions between themselves. In this condition the calculation of the controlled variables are valid.
•The interaction between the controlled and uncontrolled variables are valid and often are the main result of interest.
•Any data in the inclusion matrix is combined with the run data for post-processing. Any run matrix point which is already part of the inclusion data will not be rerun.

 

Settings

In the Specifications step, you can change the following settings from the Settings tab.

Parameter

Default

Range

Description

Design

Autoselect

AutoSelect,L4, L8, L9, L12, L16a, L16b, L18, L25, L27, L32a, L32b, L36b, L50, L54, L64a, L64b

Chooses the array for the variable set.

Resolution

III

III

Resolution of the DOE.

Number of runs

N/A

Determined by selected method

None.

Use Inclusion Matrix

false

true or false

Concatenation without duplication between the inclusion and the generated run matrix.