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A comparative study of memory‐type control charts under normal and contaminated normal environments
Author(s) -
Nazir Hafiz Zafar,
Abbas Nasir,
Riaz Muhammad,
Does Ronald J.M.M.
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.1835
Subject(s) - cusum , ewma chart , control chart , statistics , percentile , estimator , normal distribution , statistical process control , computer science , mathematics , process (computing) , operating system
Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts are commonly used to detect small changes in the parameters of production processes. Recently, a new control structure was introduced, named as mixed EWMA–CUSUM control chart, which combined both charts. The current study provides a detailed comparison of these three types of control charts when the process parameters are unknown under normal and contaminated normal environments. Performance measures average run length and different percentiles of run length distribution are used for comparison purposes. We investigate six different location estimators with the structures of the three memory charts and study their robustness properties. Copyright © 2015 John Wiley & Sons, Ltd.