Table 3 Analyzing control charts when \({n_1}=3,{n_2}=6,\lambda =0.15\).
From: Development of a VSS-EWMA chart for coefficient of variation with application to production process
δ | CC | ARL | SDRL | P05 | P10 | P25 | P50 | P75 | P90 | P95 |
|---|---|---|---|---|---|---|---|---|---|---|
0.25 | FEWMA | 3.87 | 1.10 | 2 | 2 | 3 | 3 | 4 | 4 | 5 |
DACV | 3.58 | 0.65 | 3 | 3 | 3 | 4 | 4 | 4 | 5 | |
0.50 | FEWMA | 9.41 | 4.87 | 3 | 4 | 6 | 9 | 12 | 16 | 18 |
DACV | 6.25 | 2.24 | 3 | 4 | 5 | 6 | 7 | 9 | 10 | |
0.75 | FEWMA | 52.81 | 46.25 | 8 | 11 | 21 | 39 | 71 | 113 | 146 |
DACV | 21.71 | 15.24 | 5 | 7 | 11 | 18 | 28 | 42 | 52 | |
0.90 | FEWMA | 271.22 | 265.95 | 18 | 33 | 82 | 191 | 378 | 625 | 802 |
DACV | 116.28 | 112.55 | 11 | 18 | 38 | 83 | 163 | 263 | 342 | |
1.0 | FEWMA | 500.94 | 494.51 | 23.8 | 72.4 | 162 | 395 | 753.5 | 1162.6 | 1516.1 |
DACV | 501.13 | 491.93 | 27 | 54 | 143 | 347 | 702 | 1153 | 1470.1 | |
1.05 | FEWMA | 298.29 | 303.49 | 16 | 35 | 86 | 205 | 401 | 689 | 926 |
DACV | 256.17 | 247.5 | 14.9 | 30 | 79 | 184 | 347.5 | 583.2 | 765.4 | |
1.25 | FEWMA | 35.170 | 31.98 | 3 | 6 | 13 | 26 | 47 | 78 | 100 |
DACV | 98.27 | 92.36 | 10 | 16 | 32 | 71 | 134 | 218.4 | 282 | |
1.50 | FEWMA | 10.81 | 8.79 | 1 | 2 | 4 | 9 | 15 | 22 | 28 |
DACV | 19.30 | 15.33 | 3 | 5 | 9 | 15 | 26 | 39 | 49 | |
2 | FEWMA | 4.03 | 2.99 | 1 | 1 | 2 | 3 | 5 | 8 | 10 |
DACV | 5.80 | 4.10 | 1 | 2 | 3 | 5 | 8 | 11 | 14 |
