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AuthorJones, Chelsea L.
AuthorAbdel-Salam, Abdel-Salam G.
AuthorMays, D'Arcy
Available date2023-11-29T10:06:02Z
Publication Date2023
Publication NameQuality and Reliability Engineering International
ResourceScopus
ISSN7488017
URIhttp://dx.doi.org/10.1002/qre.3229
URIhttp://hdl.handle.net/10576/49807
AbstractIn this work, both the cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been reconfigured to monitor processes using a Bayesian approach. Our construction of these charts are informed by posterior and posterior predictive distributions found using three loss functions: the squared error, precautionary, and linex. We use these control charts on count data, performing a simulation study to assess chart performance. Our simulations consist of sensitivity analysis of the out-of-control shift size and choice of hyper-parameters of the given distributions. Practical use of theses charts are evaluated on real data.
Languageen
PublisherJohn Wiley and Sons Ltd
SubjectBayesian
EWMA
loss functions
Poisson conjugate
statistical process control
TitleNovel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes
TypeArticle
Pagination164-189
Issue Number1
Volume Number39
dc.accessType Abstract Only


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