152
Simpson & Keats
values of the ARLs. Table 15 shows the design and performance statistics grouped by size of shift. In this case, 64 runs from the designed experiments were used to calculate each measure. The results indicate that, using this
Table 13. Shewhart and CUSUM Control Chart Sensitiyity Analysis for Smali and Large Shifts (LV example)
Response |
R2 |
Input Variables | |||||
Expected Cost per Time |
X |
CUSUM |
X E C0 |
C, a |
b |
Y |
6 |
Smali Shift |
0.94 |
0.91 |
x“ć X c |
X c |
X c | ||
Large Shift |
0.91 |
0.90 |
X C X c |
X c |
X c | ||
CUSUM Reference Value | |||||||
Smali Shift |
- |
0.88 |
c | ||||
Large Shift |
- |
0.80 |
c | ||||
Decision lnterval | |||||||
Smali Shift |
0.85 |
0.67 |
c |
X c | |||
Large Shift |
0.85 |
0.60 |
X c |
X |
X c | ||
Sampling lnterval | |||||||
Smali Shift |
0.81 |
0.64 |
o o |
X c |
X c |
X | |
Large Shift |
0.76 |
0.76 |
X c |
X c |
X c |
c | |
Sample Size | |||||||
Smali Shift |
0.87 |
0.67 |
X x c |
X |
X |
X c | |
Large Shift1 |
0.88 |
- |
X X |
X |
X |
X |
CUSUM model optimal sample size = 1 for 57 of the 65 runs, not enough yariability for a model.