An Improved Multivariate Short Run Control Chart Based On The CUSUM Statistic

Short run control charting in necessary at the start-up of a process and at the initiation of a new process for which prior information is unavailable. Numerous univariate short run control charts have been introduced to overcome the problems faced by conventional charts in a short run environment....

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主要な著者: Khoo, Michael B. C., Gan, H. L.
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2005
主題:
オンライン・アクセス:http://eprints.usm.my/124/1/An_Improved_Multivariate_Short_Run_Control_Chart_Based_On_The__Cucum_Statistic.pdf
http://eprints.usm.my/124/
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要約:Short run control charting in necessary at the start-up of a process and at the initiation of a new process for which prior information is unavailable. Numerous univariate short run control charts have been introduced to overcome the problems faced by conventional charts in a short run environment. Most practical scenarios involve several related variables. the multivariate short run charts for individual measurements and subgrouped data were proposed so that a joint monitoring of several correlated variables can be made simultaneously in a short run environment (see[5]). This paper aims at improving the performance of the multivariate short run chart for individual measurements by using its statistics to construct a cumulative sum (CUSUM) chart.