Special Control Charts Using Intelligent Techniques: EWMA Control Charts

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dc.authoridToy, Ayhan Özgür/0000-0003-1603-6860
dc.authorwosidToy, Ayhan Özgür/F-2155-2017
dc.contributor.authorAslan, Bulut
dc.contributor.authorEkinci, Yeliz
dc.contributor.authorToy, Ayhan Ozgur
dc.coverage.doi10.1007/978-3-319-24499-0
dc.date.accessioned2024-07-18T20:40:06Z
dc.date.available2024-07-18T20:40:06Z
dc.date.issued2016
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractIn this chapter we consider the economical design of EWMA zone control charts for set of machines operating under JPS (Jidoka Production System). We provide an extensive literature review of intelligent systems in quality control deductively to fit our purposes. It starts with an overview of quality control charts; then, reviews charts designed for special purposes such as EWMA, CUSUM and zone control charts. Finally, as particularly related to this study, reviews of economical design and intelligent applications of EWMA are provided. We discuss and review Jidoka Production System and motivation of operating such a system. We suggest an intelligent control and repair system such that in a production system, machines are individually controlled and repaired when an out-of-control signal is triggered in the zone with the tight control limits, however a system-wide shut down and repair is conducted when the out-of-control signal is from beyond the inner (tight) control limits which is considered as an opportunity for repair and calibration of all machines. We illustrate and investigate the behaviour of control parameters, namely sample size, sampling interval and control limits, via a numerical study of a three-machine system through simulation. We also provide insights for implementation of several metaheuristics for the system setting discussed in this chapter.en_US
dc.identifier.doi10.1007/978-3-319-24499-0_4
dc.identifier.endpage125en_US
dc.identifier.isbn978-3-319-24499-0
dc.identifier.isbn978-3-319-24497-6
dc.identifier.issn1868-4394
dc.identifier.issn1868-4408
dc.identifier.scopus2-s2.0-84946068571en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage101en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-319-24499-0_4
dc.identifier.urihttps://hdl.handle.net/11411/6980
dc.identifier.volume97en_US
dc.identifier.wosWOS:000371081900005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofIntelligent Decision Making in Quality Management: Theory and Applicationsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectControl Chartsen_US
dc.subjectEwmaen_US
dc.subjectCusumen_US
dc.subjectIntelligenten_US
dc.subjectJidoka Production Systemen_US
dc.subjectStatistical Process-Controlen_US
dc.subjectConstrained Economic Designen_US
dc.subjectZone Control Charten_US
dc.subjectHealth-Careen_US
dc.subject(X)Over-Bar Chartsen_US
dc.subjectQualityen_US
dc.subjectOptimizationen_US
dc.subjectPerformanceen_US
dc.subjectImprovementen_US
dc.subjectModelen_US
dc.titleSpecial Control Charts Using Intelligent Techniques: EWMA Control Charts
dc.typeBook Chapter

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