Abstract
Statistical process control (SPC) has been widely used to monitor various industrial processes. In modern industrial manufacturing, the quality of a product is usually related to several quality characteristics simultaneously. Therefore, multivariate statistical process control plays an important role in monitoring the industrial manufacturing processes. In the article, we propose a new multivariate statistical process control chart for monitoring the covariance matrix of several quality characteristics, which is based on integrating the dissimilarity index between two covariance matrices and the exponentially weighted moving average (EWMA) control scheme.