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AuthorAdegoke, Nurudeen A.
AuthorAbbasi, Saddam Akber
AuthorSmith, Adam N. H.
AuthorAnderson, Marti J.
AuthorPawley, Matthew D. M.
Available date2020-06-23T20:45:40Z
Publication Date2019
Publication NameIEEE Access
ResourceScopus
ISSN21693536
URIhttp://dx.doi.org/10.1109/ACCESS.2019.2891988
URIhttp://hdl.handle.net/10576/15106
AbstractThis paper presents a multivariate homogeneously weighted moving average (MHWMA) control chart for monitoring a process mean vector. The MHWMA control chart statistic gives a specific weight to the current observation, and the remaining weight is evenly distributed among the previous observations. We present the design procedure and compare the average run length (ARL) performance of the proposed chart with multivariate Chi-square, multivariate EWMA, and multivariate cumulative sum control charts. The ARL comparison indicates superior performance of the MHWMA chart over its competitors, particularly for the detection of small shifts in the process mean vector. Examples are also provided to show the application of the proposed chart. - 2013 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAverage run length
control chart
manufacturing process
quality control
statistical process control
TitleA Multivariate Homogeneously Weighted Moving Average Control Chart
TypeArticle
Pagination9586-9597
Volume Number7
dc.accessType Open Access


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