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AuthorAbbasi, Saddam Akber
Available date2020-08-27T12:05:52Z
Publication Date2017
Publication NameQuality and Reliability Engineering International
ResourceScopus
ISSN7488017
URIhttp://dx.doi.org/10.1002/qre.2149
URIhttp://hdl.handle.net/10576/15830
AbstractIn real life applications, many process-monitoring problems in statistical process control are based on attribute data resulting from quality characteristics that cannot be measured on numerical or quantitative scales. For the monitoring of such data, a new attribute control chart has been proposed in this study, namely, the Poisson progressive Mean (PPM) control chart. The performance of the PPM chart is compared with the existing charts used for the monitoring of Poisson processes such as the Shewhart c-chart, Poisson Exponentially Weighted Moving Average chart, Poisson double Exponentially Weighted Moving Average chart and the Poisson Cumulative Sum charts. The average run length comparison indicated the superior performance of the PPM chart in terms of shift detection ability. This study will help quality practitioners to choose an efficient attribute control chart. Copyright - 2017 John Wiley & Sons, Ltd.
Languageen
PublisherJohn Wiley and Sons Ltd
SubjectEWMA
poisson chart
progressive mean
run length
TitlePoisson progressive mean control chart
TypeArticle
Pagination1855-1859
Issue Number8
Volume Number33
dc.accessType Abstract Only


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