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

¹ Shanghai Aerospace Electronic Technology Instituteing, Shanghai, China
² Zhongni Environment Technology and Development Co., Ltd, Shanghai, China
³ Anhui University Hefei, China

^* Corresponding author: yunviki@126.com

Abstract

Hotelling T² 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 T² control chart is ineffective on detecting minimal mean deviations. Exemplified by bivariate quality characteristics, we compared the monitoring effects of Hotelling T² control chart and new control chart which is called as T²_MEWMA control chart. Paper showed the improved T²_MEWMA control chart has smaller average run length than Hotelling T² control chart on monitoring minimal mean deviation and that also studied the relationships between T²_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.