期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2017
卷号：13
期号：3
页码：589-601
DOI：10.18187/pjsor.v13i3.1418
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：This paper presents a statistical analysis control chart for nonconforming units in quality control. In many situations the Shewhart control charts for nonconforming units may not be suitable or cannot be used, as for many processes, the assumptions of binomial distribution may deviate or may provide inadequate model. In this Study we propose a new control chart based on regression estimator of proportion based on single auxiliary variable, namely the Pr chart and compared its performance with P and Q chart with probability to signal as a performance measure. It has been observed that the proposed chart is superior to the P and Q chart. This study will help quality practitioners to choose an efficient alternative to the classical P and Q charts for monitoring nonconforming units in industrial process.
其他摘要：This paper presents a statistical analysis control chart for nonconforming units in quality control.
In many situations the Shewhart control charts for nonconforming units may not be suitable or
cannot be used, as for many processes, the assumptions of binomial distribution may deviate or
may provide inadequate model. In this Study we propose a new control chart based on regression
estimator of proportion based on single auxiliary variable, namely the Pr chart and compared its
performance with P and Q chart with probability to signal as a performance measure. It has been
observed that the proposed chart is superior to the P and Q chart. This study will help quality
practitioners to choose an efficient alternative to the classical P and Q charts for monitoring
nonconforming units in industrial process.
