Mixed EWMA–CUSUM chart for COM-Poisson distribution

dc.creatorRao, Gadde Srinivasa
dc.creatorAslam, Muhammad
dc.creatorRasheed, Umer
dc.creatorJun, Chi-Hyuck
dc.date2021-02-26T08:39:59Z
dc.date2021-02-26T08:39:59Z
dc.date2020
dc.date.accessioned2022-10-20T13:25:33Z
dc.date.available2022-10-20T13:25:33Z
dc.descriptionAbstract Full text article is available at https://doi.org/10.1080/09720510.2019.1639947
dc.descriptionIn this article, we develop a mixed (SPC) control chart for monitoring moderate and/or small shift in the process following the Conway Maxwell Poisson (COM-Poisson) distribution. To determine the ability and performance of the proposed mixed EWMA-CUSUM control chart, we evaluate the average run lengths and compare with different control charts. We will compare the efficiency of the proposed control chart over the existing control charts in terms of average run length. The results show an improvement in ARL when compared with the existing charts. A real example and a simulation study is also added to use the chart in the industry.
dc.identifierRao, G. S., Aslam, M., Rasheed, U., & Jun, C. H. (2020). Mixed EWMA–CUSUM chart for COM-Poisson distribution. Journal of Statistics and Management Systems, 23(3), 511-527.
dc.identifierDOI: 10.1080/09720510.2019.1639947
dc.identifierhttp://hdl.handle.net/20.500.12661/2839
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2839
dc.languageen
dc.publisherTaylor & Francis
dc.subjectExponential weighted moving average
dc.subjectCumulative sum
dc.subjectAverage run length
dc.subjectStatistical Process Control
dc.subjectSPC
dc.subjectEWMA-CUSUM control chart
dc.titleMixed EWMA–CUSUM chart for COM-Poisson distribution
dc.typeArticle

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