Mixture cumulative count control chart for mixture geometric process characteristics

被引:0
作者
Muhammad Younas Majeed
Muhammad Aslam
Muhammad Riaz
机构
[1] Quaid-i-Azam University,Department of Statistics
[2] King Fahad University of Petroleum and Minerals,Department of Mathematics and Statistics
来源
Quality & Quantity | 2013年 / 47卷
关键词
ARL; CCC-chart; High yield process; MCCC-chart; Mixture models;
D O I
暂无
中图分类号
学科分类号
摘要
A statistical process control chart named the mixture cumulative count control chart (MCCC-chart) is suggested in this study, motivated by an existing control chart named cumulative count control chart (CCC-chart). The MCCC-chart is constructed based on the distribution function of a two component mixture of geometric distributions using the number of items inspected until a defective item is observed ‘n’ as plotting statistics. We have observed that the MCCC-chart has the ability to perform equivalent to the CCC-chart when number of defective items follows geometric distribution and better than the CCC-chart when the number of defective items produced by a process follows a mixture geometric model. The MCCC-chart may be considered as a generalized version of CCC-chart.
引用
收藏
页码:2289 / 2307
页数:18
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