A transformation-based multivariate chart to monitor process dispersion

作者：Abbasi B^*; Niaki S T A; Abdollahian M; Hosseinifard S Z

来源：International Journal of Advanced Manufacturing Technology, 2009, 44(7-8): 748-756.

DOI：10.1007/s00170-008-1882-x

• Multivariate quality control
• Process dispersion
• Transformation technique

Multivariate monitoring techniques such as multivariate control charts are used to control the processes that contain more than one correlated characteristic. Although the majority of previous researches are focused on controlling only the mean vector of multivariate processes, little work has been performed to monitor the covariance matrix. In this research, a new method is presented to detect possible shifts in the covariance matrix of multivariate processes. The basis of the proposed method is to eliminate the correlation structure between the quality characteristics by transformation technique and then use an S chart for each variable. The performance of the proposed method is then compared to the ones from other existing methods and a real case is presented.

• 出版日期2009-10