Enhancing Control: Unveiling the Performance of Poisson EWMA Charts through Simulation with Poisson Mixture DATA

dc.authoriduncu, nusin/0000-0003-3030-3363
dc.authoridKoyuncu, Melik/0000-0003-0513-6276
dc.contributor.authorUncu, Nusin
dc.contributor.authorKoyuncu, Melik
dc.date.accessioned2025-01-06T17:37:12Z
dc.date.available2025-01-06T17:37:12Z
dc.date.issued2023
dc.description.abstractPoisson-Exponentially Weighted Moving Average (PEWMA) charts are one of the most frequently used control charts for monitoring count data. But as real-world data often shows overdispersion-prevalent in manufacturing, health care, economics, and marketing-the standard Poisson distribution falls short. One of the ways to tackle overdispersion is to use Poisson mixture distributions. Our study examines Average Run Length (ARL) performance in the presence of Poisson mixture distribution in the PEWMA control charts. Through meticulously designed experiments, we explore different control parameter combinations and employ simulation to evaluate the process. Our graphs illustrate the performance of the PEWMA control chart, offering desired in-control ARL across parameter combinations. Finally, the performance of the PEWMA control chart is presented for the real process data of fastener production.
dc.identifier.doi10.3390/app132011160
dc.identifier.issn2076-3417
dc.identifier.issue20
dc.identifier.scopus2-s2.0-85192459984
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/app132011160
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2134
dc.identifier.volume13
dc.identifier.wosWOS:001090612500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofApplied Sciences-Basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectcontrol charts
dc.subjectPEWMA
dc.subjectpoisson mixture distribution
dc.subjectsimulation
dc.titleEnhancing Control: Unveiling the Performance of Poisson EWMA Charts through Simulation with Poisson Mixture DATA
dc.typeArticle

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