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A Control Chart for COM–Poisson Distribution Using Multiple Dependent State Sampling
Author(s) -
Aslam Muhammad,
Ahmad Liaquat,
Jun ChiHyuck,
Arif Osama H.
Publication year - 2016
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1965
Subject(s) - control chart , poisson distribution , chart , x bar chart , statistics , ewma chart , statistic , sampling (signal processing) , shewhart individuals control chart , zero inflated model , computer science , mathematics , statistical process control , control limits , process (computing) , poisson regression , population , demography , filter (signal processing) , sociology , computer vision , operating system
In this article, an attribute control chart has been proposed for the COM–Poisson distributed non‐conformities using multiple dependent states sampling based on the exponentially weighted moving average statistic. Average run lengths of the out‐of‐control process with different shift levels of the COM–Poisson distribution have been calculated through simulation. From comparison, it has been observed that the proposed control chart is better in detecting the out‐of‐control process quickly as compared with the existing control chart. A simulated example has been given for the practical use of the proposed control chart. Copyright © 2016 John Wiley & Sons, Ltd.