Journal of Statistics: Advances in Theory and ApplicationsAuthor's: M. S. Hamed
Pages: [163] - [203]
Received Date: June 25, 2016; Revised July 7, 2016
Submitted by:
DOI: http://dx.doi.org/10.18642/jsata_7100121679
Statistical control chart is one of the most powerful tools in quality control. It was first developed by Walter Shewhart in 1920. It found widespread use in World War II and since then it has gone through several modification. The main drawback of multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate exponentially weighted moving average (MEWMA) developed by Lowry et al. [2] is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. In this paper, the run length performance of multivariate exponentially weighted moving average (MEWMA) chart with application is studied. Industry fertilizers is important one of the chemical industries in Egypt, so that this work concerns the fertilizers industries quality control, especially urea fertilizer with application on Delta fertilizer and chemical industries which is considered on of the leading companies in the field of fertilizer production in Middle east with application of multivariate quality control procedures to achieve best one procedure for multivariate quality control.
MEWMA (multivariate exponentially weighted moving average), multivariate analysis, quality control.
