A control chart for multivariate Poisson distribution using repetitive sampling

被引:27
|
作者
Aslam, Muhammad [1 ]
Rao, G. Srinivasa [2 ]
Ahmad, Liaquat [3 ]
Jun, Chi-Hyuck [4 ]
机构
[1] King Abdulaziz Univ, Dept Stat, Fac Sci, Jeddah, Saudi Arabia
[2] Univ Dodoma, Sch Math Sci, Dept Stat, CNMS, Dodoma, Tanzania
[3] Univ Vet & Anim Sci, Dept Stat & Comp Sci, Lahore, Pakistan
[4] POSTECH, Dept Ind & Management Engn, Pohang, South Korea
关键词
Multivariate control chart; Poisson distribution; repetitive sampling; average run length; STATISTICAL PROCESS-CONTROL; PROCESS CAPABILITY INDEX; ATTRIBUTE CONTROL CHARTS; PLAN; PERFORMANCE;
D O I
10.1080/02664763.2016.1164837
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Control charts using repetitive group sampling have attracted a great deal of attention during the last few years. In the present article, we attempt to develop a control chart for the multivariate Poisson distribution using the repetitive group sampling scheme. In the proposed control chart, the monitoring statistic from the multivariate Poisson distribution has been used for the quick detection of the deteriorated process to avoid losses. The control coefficients have been estimated using the specified in-control average run lengths. The procedure of the proposed control chart has been explained by using the real-world example and a simulated data set. It has been observed that the proposed control chart is an efficient development for the quick detection of the nonrandom change in the manufacturing process.
引用
收藏
页码:123 / 136
页数:14
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