A control chart for the lognormal standard deviation

被引:18
作者
Huang, Wei-Heng [1 ]
Yeh, Arthur B. [2 ]
Wang, Hsiuying [1 ]
机构
[1] Natl Chiao Tung Univ, Inst Stat, Hsinchu, Taiwan
[2] Bowling Green State Univ, Dept Appl Stat & Operat Res, Bowling Green, OH 43403 USA
来源
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2018年 / 15卷 / 01期
关键词
Average run length; lognormal distribution; Phase II monitoring; process variabling; S-chart; ROBUST-CONTROL CHARTS; CONFIDENCE-INTERVALS; ARITHMETIC MEANS; POPULATIONS;
D O I
10.1080/16843703.2017.1304044
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Among the statistical process control techniques, the control chart has been proven to be effective in process monitoring. The Shewhart S-chart is one of the most commonly used control charts for monitoring the process variability based on the assumption that the distribution of the quality characteristic to be monitored is normal. However, in real applications, many process distributions may follow a positively skewed distribution such as the lognormal distribution. In this study, a control chart for monitoring the standard deviation of a lognormal distribution is presented. The simulation results show that the proposed chart is more effective than the existing charts when the true value of the scale parameter of the lognormal distribution is large. A real example is used to demonstrate how the proposed chart can be applied in practice.
引用
收藏
页码:1 / 36
页数:36
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