Page 557 - Design for Six Sigma a Roadmap for Product Development
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Design Optimization:Taguchi’s Robust Parameter Design 515
G 3.17
B 7.04
C 7.24
Factors E 7.28
F
9.22
A 12.41
D 53.64
0.00 10.00 20.00 30.00 40.00 50.00 60.00
% Contribution
Figure 14.10 Percentage contribution of control factors for S/N.
A B C D E F
36
35
34
S/N
33
32
1 2 1 2 1 2 1 2 1 2 1 2
Figure 14.11 Main-effects chart—data means for S/N.
37.48 32.17 34.26 34.38
B 1 34.57
4
Similarly, C 2 34.59, D 1 35.99, E 1 34.55, F 2 34.69.
We also need to determine an appropriate production output level; that is,
we have to determine the appropriate E(Y). In this project, an analysis vari-
ance is conducted for the original output data (y data with 10 replicates),
and the following ANOVA table is obtained:
