ดาวน์โหลด All Proceeding - AS Nida

From the process settings for all influential process variables
in Table 5, the performance after the improvement for two phases can
be evaluated from the meandering data. After an implementation, it has
been found that the average of the response from Scenario 2 is lower
than the current manufacturing system as described in the figure of a
box-whisker plot (Fig. 4).
Data
7
6
5
4
3
Box-Whisker Plot of Meandering Data from all Three Scenarios
Previous
Scenario 1
Scenario 2
Fig. 4 Box-Whisker Plot of Meandering Data from all Three Scenarios.
A confirmation technique for analysing experimental data of
the meandering tolerance is measured under various operating
conditions. It can also be seen that these experimental results on all
scenarios were statistically significant with 95% confidence interval
(Table 6). The numerical results suggested that Scenario 2 provided the
better performance in terms of the average meandering tolerance (Fig.
5). The goodness of the linear statistical model via experimental errors
or residuals is also adequate (Fig. 6). As the results, Scenario 2 is then
applied to the manufacturing system under a consideration of the
reduction of meandering tolerance achieved.
Table 6. One-way ANOVA: Meandering versus Scenario.
Source DF SS MS F P-Value
Scenario 2 88.9007 44.4504 646.16 0.000
Error 57 3.9211 0.0688
Total 59 92.8218
49
Percent
Frequency
99.9
99
90
50
10
1
0.1
-1.0
16
12
8
4
0
Fig. 5 Graphical Comparison for Three Scenarios.
Normal Probability Plot Versus Fits
-0.5
0.0
Residual
0.5
-0.8 -0.6 -0.4 -0.2 0.0 0.2
Residual
Residual Plots for Response
0.4
1.0
Residual
Residual
0.5
0.0
-0.5
-1.0
3
0.5
0.0
-0.5
4
5
Fitted Value
Histogram Versus Order
Fig.6 Model Adequacy Checking.
-1.0
1 5 10 15 20 25 30 35 40 45 50 55 60
Observation Order
5. CONCLUSIONS
In this study there are some qualitative process variables that
need to be in forms of integer whereas the remaining variables are
quantitative. This mixed integer linear constrained response surface
optimizations model provides the new operating condition. The
experiment in this research was restricted to only one cycle.
Consequently conclusions may not be the global optimum. The
experimental results showed that it brings the meandering close to the
target and within specification. After an implementation, the
meandering is close to the target when compared. The tolerance is
changed from 5.90 to 3.16 microns. Consequently, this reduces the level
of production cost and also time and labor.
ACKNOWLEDGMENT
The authors wish to thank the Faculty of Engineering,
Thammasat University, THAILAND for the financial support.
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