Table 4 Analyzing control charts when \({n_1}=3,{n_2}=6,\lambda =0.25\).
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 | 3.67 | 1.27 | 2 | 2 | 3 | 3 | 4 | 5 | 6 |
DACV | 2.74 | 0.54 | 2 | 2 | 2 | 3 | 3 | 3 | 4 | |
0.50 | FEWMA | 12.30 | 8.12 | 3 | 4 | 7 | 10 | 16 | 23 | 28 |
DACV | 5.15 | 2.00 | 3 | 3 | 4 | 5 | 6 | 8 | 9 | |
0.75 | FEWMA | 86.91 | 82.6 | 8 | 13 | 28 | 62 | 118 | 192 | 249 |
DACV | 22.38 | 17.13 | 5 | 6 | 10 | 18 | 29 | 45 | 56 | |
0.90 | FEWMA | 359.08 | 355.58 | 22 | 41 | 107 | 252 | 499 | 797.6 | 1056.4 |
DACV | 133.18 | 127.76 | 10 | 18 | 41 | 93.5 | 185 | 299 | 392 | |
1.0 | FEWMA | 498.46 | 484.80 | 27.6 | 52.2 | 150 | 352 | 698 | 1144.8 | 1457 |
DACV | 497.57 | 470.7 | 30 | 58 | 155 | 344.5 | 718.7 | 1133.8 | 1427 | |
1.05 | FEWMA | 124.80 | 125.25 | 6 | 13 | 36 | 86 | 172 | 292 | 376 |
DACV | 242.21 | 232.74 | 13 | 26 | 72 | 174.5 | 336 | 549.1 | 712 | |
1.25 | FEWMA | 40.48 | 38.66 | 3 | 6 | 13 | 29 | 55 | 91 | 118 |
DACV | 165.15 | 157.7 | 13 | 23 | 51 | 118 | 228 | 370.8 | 475.8 | |
1.50 | FEWMA | 11.50 | 9.71 | 1 | 2 | 5 | 9 | 16 | 24 | 31 |
DACV | 25.33 | 22.03 | 3 | 5 | 10 | 19 | 34 | 54 | 69 | |
2 | FEWMA | 4.127 | 3.09 | 1 | 1 | 2 | 3 | 6 | 8 | 10 |
DACV | 6.30 | 4.64 | 1 | 2 | 3 | 5 | 8 | 12 | 15 |
