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AuthorAbbasi S.A.
AuthorMohamed M.A.
AuthorAhmed M.A.
AuthorLajara R.J.
AuthorHadi H.F.
Available date2020-03-25T12:18:04Z
Publication Date2019
Publication NameProceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019
ResourceScopus
URIhttp://dx.doi.org/10.1109/ICITM.2019.8710714
URIhttp://hdl.handle.net/10576/13496
AbstractControl charts are mostly used for the monitoring of process mean and dispersion. In cases, when the process standard deviation is proportional to the mean, it is recommended to use control charts based on coefficient of variation (CV). In this study, a new control chart, namely the CVPMchart, is proposed for the monitoring of process CV using the progressive mean statistic. The performance of the CVPMchart is evaluated using average run length, standard deviation of run length, median run length, extra quadratic loss and relative average run length measures. The run length comparison indicated better detection ability of the CVPMchart as compared to other competing CV charts. A real-life example is also provided to show the illustration of the proposed chart. The study will help quality practitioners to choose an efficient control chart for the monitoring of process CV.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcoefficient of variation
extra quadratic loss
process monitoring
progressive mean
run length
TitleMonitoring Coefficient of Variation Using Progressive Mean Technique
TypeConference Paper
Pagination270-274
dc.accessType Abstract Only


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