集成量纲分析的DA-MEWMA控制图

he quality of a product typically depends on several correlated quality characteristics. The degree of importance of different quality characteristics may be different and there is a certain physical relationship betweA new multivariate control chart procedure based on multivariate exponentially weighted moving average (MEWMA) statistics with dimensional analysis (DA) is proposed to monitor the engineering and physical process. A case study was conducted to evaluate the performance of the proposed charts and compare them with traditional MEWMA control charts. Results are illustrated with some straightforward applications of DA. The comparative performance in terms of average run length showed that the proposed DA-MEWMA control charts performed better than the MEWMA control charts in the engineering and physical process situations.