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Hotelling  T  2  control chart not only reflects the correla-tions between different quality characteristics but also has good efficiency on monitoring multivariate quality characteristics in production process. A new alternative control chart was constructed after the original products data are processed by using multivariate exponentially weighted moving average for cumulating failure effects because  T  2  control chart is ineffective on detecting minimal mean deviations. Exemplified by bivariate quality characteristics, we compared the monitoring effects of Hotelling  T  2  control chart and new control chart which is called as  T  2   MEWMA   control chart. Paper showed the improved  T  2   MEWMA   control chart has smaller average run length than Hotelling  T  2  control chart on monitoring minimal mean deviation and that also studied the relationships between  T  2   MEWMA   control chart’s forgetting factor, sample sizes N and type II error. It indicated the smaller forgetting factor is more sensitive to minimal mean value deviation and that average run length tended to become bigger gradually along with increase of sample sizes N when production process is out of control.

A new alternative Hotelling’s T2 control chart using MEWMA to monitor minimal mean deviation

A new alternative Hotelling’s T² control chart using MEWMA to monitor minimal mean deviation