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AuthorRiaz, Muhammad
AuthorAbid, Muhammad
AuthorShabbir, Aroosa
AuthorNazir, Hafiz Zafar
AuthorAbbas, Zameer
AuthorAbbasi, Saddam Akber
Available date2023-05-28T10:11:26Z
Publication Date2021
Publication NameQuality and Reliability Engineering International
ResourceScopus
URIhttp://dx.doi.org/10.1002/qre.2812
URIhttp://hdl.handle.net/10576/43488
AbstractIn practical situations, the underlying process distribution sometimes deviates from normality and their distribution is partially or completely unknown. In that instance, rather than staying with/depending on the conventional parametric control charts, we consider non-parametric control charts due to their exceptional performance. In this paper, a new non-parametric double homogeneously weighted moving average sign control chart is proposed with the least assumptions. This chart is based on a sign test statistic for catching the smaller deviations in the process location. Run-length (RL) properties of the proposed chart are studied with the help of Monte Carlo simulations. Both in-control and out-of-control RL properties show that the proposed chart is a better contender as compared to some existing charts from the literature. A real-life application for practical consideration of the proposed chart is also provided.
SponsorThe authors are grateful to the anonymous reviewers for their valuable suggestions that helped in improving the initial version of the manuscript. This work is supported by the Deanship of Scientific Research (DSR) at the King Fahd University of Petroleum and Minerals (KFUPM) under Project Number SB191030.
Languageen
PublisherJohn Wiley and Sons Ltd
Subjectaverage run length
control chart
non-parametric
normality
sign statistic
TitleA non-parametric double homogeneously weighted moving average control chart under sign statistic
TypeArticle
Pagination1544-1560
Issue Number4
Volume Number37
dc.accessType Abstract Only


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