Self-starting single control charts for multivariate processes: a comparison of methods
نویسندگان
چکیده
منابع مشابه
Self-Starting Multivariate Control Charts for Location and Scale
Multivariate control charts are very effective when monitoring several correlated characteristics. Proper process control consists of monitoring both mean and variability. In multivariate settings, the multivariate exponentially weighted moving average (MEWMA) is ideal to monitor the mean vector. Similarly, the recently-proposed multivariate exponentially weighted moving covariance matrix (MEWM...
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On multivariate control charts
Industrial production requires multivariate control charts to enable monitoring of several components. Recently there has been an increased interest also in other areas such as detection of bioterrorism, spatial surveillance and transaction strategies in finance. In the literature, several types of multivariate counterparts to the univariate Shewhart, EWMA and CUSUM methods have been proposed. ...
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ژورنال
عنوان ژورنال: Production
سال: 2020
ISSN: 1980-5411,0103-6513
DOI: 10.1590/0103-6513.20190136