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AuthorAbdella, Galal M
AuthorAl-Khalifa, Khalifa N.
AuthorHamouda, Abdel Magid S.
AuthorAl-Janabi, Ala Abdul Kadir
Available date2024-06-23T06:32:20Z
Publication Date2019
Publication NameProceedings of the International Conference on Industrial Engineering and Operations Management
ResourceScopus
ISSN21698767
URIhttp://hdl.handle.net/10576/56163
AbstractThe quality of process or product is often characterized by the univariate or multivariate distribution of quality characteristics. The linear profiles are widely used to model the relationship between dependent and independent variables. This paper aims to investigate the statistical performance of the double exponentially weighted moving average control chart (dEWMA) in quickly detecting the existence of assignable causes under different patterns of process shift. The performance of three existing control chart is estimated and compared using the Average Run Length (ARL) as a criterion of comparison. For all the compared charts, the ARL and standard deviation (SDRL) at several parameters of shift patterns are estimated in order to draw conclusions and provide future work guidelines.
Languageen
PublisherIEOM Society
SubjectAverage run length
DEWMA control chart
DMEWMA control chart
Phase II process monitoring
Simple linear profile
TitleMonitoring of simple linear quality profiles using dEWMA statistic under uncertainty of process deviations
TypeConference Paper
Pagination1941-1951
Issue NumberJuly
dc.accessType Abstract Only


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