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AuthorAbdella G.M.
AuthorHamouda A.S.
AuthorAl-Khalifa K.N.
Available date2020-02-05T08:53:39Z
Publication Date2018
Publication NameProceedings of the International Conference on Industrial Engineering and Operations Management
Publication Name3rd North American IEOM Conference. IEOM 2018
ResourceScopus
ISSN21698767
URIhttp://hdl.handle.net/10576/12785
AbstractIn traditional quality control, the quality of product is typically modeled as the univariate or multivariate distribution of the quality parameters. In more recent applications, the quality is modeled using the relationship between a response and independent variable. This paper investigates the performance of multivariate version of the double dMEWMA statistics in detecting changes in step shift in the intercept, slope, and error-variance of simple linear quality profiles. The statistical performance of the dMEWMA chart is estimated and compared versus three different charting techniques includeing the Hotelling T2, EWMA/R and dEWMA3. For all the compared charts, the average run length (ARL) under wide range of shift levels are estimated in order to draw beneficial conclusions. IEOM Society International.
Languageen
PublisherIEOM Society
SubjectDMEWMA chart
Profile monitoring
Run length
TitleThe performance assessment for the dMEWMA in capturing changes in simple linear profiles
TypeConference Paper
Pagination1591-1606
Issue NumberSEP
Volume Number2018
dc.accessType Abstract Only


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