Visual Six Sigma by Ian Cox & Marie A. Gaudard & Philip J. Ramsey & Mia L. Stephens & Leo Wright

Visual Six Sigma by Ian Cox & Marie A. Gaudard & Philip J. Ramsey & Mia L. Stephens & Leo Wright

Author:Ian Cox & Marie A. Gaudard & Philip J. Ramsey & Mia L. Stephens & Leo Wright
Language: eng
Format: epub
ISBN: 9781119222255
Publisher: Wiley
Published: 2016-06-20T00:00:00+00:00


Exhibit 7.40 Report for Reduced Model for Thickness

To reduce the Thickness model manually using the Effect Summary table (Anodize_CustomDesign_Results.jmp, script is Thickness Model):

Select the least significant term that is not contained in a significant higher-order interaction.

Click the Remove button at the bottom of the table.

Repeat steps 1 and 2, one term at a time, until only significant terms remain in the model.

You notice that the final Thickness model contains two significant interactions, and that only factors from the anodizing step of the process are significant. Thus, the team finds that the model is in good agreement with engineering knowledge, which indicates that factors in the dye step should not have an impact on anodize thickness.

You use this same approach to determine final models for each of the other three responses. Scripts that show results for all four models are saved to the Table panel in the data table Anodize_CustomDesign_Results.jmp (see Exhibit 7.41). Each of the models for L*, a*, and b* includes factors from both the anodizing and dyeing processes.



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