Design of a New Variable Shewhart Control Chart Using Multiple Dependent State Repetitive Sampling

被引：5
|
作者：
Aldosari, Mansour Sattam [1 ]
Aslam, Muhammad [1 ]
Khan, Nasrullah [2 ]
Jun, Chi-Hyuck [3 ]
机构：
[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21551, Saudi Arabia
[2] Univ Vet & Anim Sci, Dept Stat, Jhang Campus, Lahore 54000, Pakistan
[3] Pohang Univ Sci & Technol, Dept Ind & Management Engn, Pohang 37673, South Korea
来源：
SYMMETRY-BASEL | 2018年 / 10卷 / 11期
关键词：
control chart; quality control; process control; average run length; ECONOMIC STATISTICAL DESIGN; X-BAR CHART;
D O I：
10.3390/sym10110641
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, a new variable control chart is proposed using multiple dependent-state repetitive sampling by assuming that the data follows a normal distribution having a symmetry property. Its efficiency will be evaluated in terms of in-control and out-of-control average run lengths. The results showed that the proposed chart is better than the existing variable control chart to detect an early shift in the process. An industrial example is given to illustrate the proposed chart in the industry.
引用
收藏
页数：9
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