Fig 1.
Fig 2.
Flowchart of computing the PCWMS statistic in Phase II.
Fig 3.
Flowchart of computing ARL for the PCWMS control chart in Phase II.
Fig 4.
The illustration of IC model.
Fig 5.
The illustration of OC model- scenario 1.
Fig 6.
The illustration of OC model- scenario 2.
Fig 7.
The illustration of OC model- scenario 3.
Table 1.
Values of OC ARL and SDRL with different shifts when n = 10, 50, 100 under Scenario1.
Table 10.
ARLs and SDRLs for the proposed control chart by VFPCA and MFPCA approaches with different correlations.
Table 2.
Values of OC ARL and SDRL with different shifts when n = 10, 50, 100 under Scenario2.
Table 3.
Values of OC ARL and SDRL with different shifts when n = 10, 50, 100 under Scenario3.
Table 4.
Values of OC ARL and SDRL with different shifts based on different percentages of total variation, under Scenario1.
Table 5.
Values of OC ARL and SDRL with different shifts based on different percentages of total variation, under Scenario2.
Table 6.
Values of OC ARL and SDRL with different shifts based on different percentages of total variation, under Scenario3.
Table 7.
Values of OC ARL and SDRL with different smoothing parameters under Scenario1.
Table 8.
Values of OC ARL and SDRL with different smoothing parameters under Scenario 2.
Table 9.
Values of OC ARL and SDRL with different smoothing parameters under Scenario 3.
Fig 8.
Proposed PCWMS control chart in detecting shift in variability with MFPCA approach.
Fig 9.
Proposed PCWMS control chart in detecting shift in variability with MFPCA approach.