FAILURE MODE AND EFFECTS ANALYSIS AND DATA MINING APPROACH TO QUALITY IMPROVEMENT IN MANUFACTURING INDUSTRY

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dc.contributor.authorYüksel, B.D.
dc.contributor.authorErsöz, F.
dc.date.accessioned2024-09-29T16:16:22Z
dc.date.available2024-09-29T16:16:22Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIt is important to analyze the failures and eliminate their root causes to ensure customer satisfaction and increase quality in businesses FMEA analysis is a widely used method to analyze potential or potential failures. Data mining methods can also investigate the causes of these failures. In this study, it is aimed to determine and eliminate the root causes of failures with FMEA and data mining in a machining company. FMEA and data mining have been applied to improve the quality of the business and eliminate the root causes of failures. IBM SPSS Modeler and Weka programs were used in data mining research. As a result of the research, the types of failures with a risk priority number value above 100 were reduced to an acceptable level by making improvements.C5.0 algorithm, one of the data mining classification algorithms, was applied with IBM SPSS Modeler and the factors affecting the failures of the personnel were determined. As a result of the research, it was determined that the most important reason was whether the personnel were professional or not. According to the classification result made with WEKA J48 algorithm, the most effective factor causing the personnel to make mistakes was determined as the training status of the personnel. © 2023 Published by Faculty of Engineering.en_US
dc.identifier.doi10.24874/PES05.01.005
dc.identifier.endpage62en_US
dc.identifier.issn2620-2832
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85150688164en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage49en_US
dc.identifier.urihttps://doi.org/10.24874/PES05.01.005
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9049
dc.identifier.volume5en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherFaculty of Engineering, University of Kragujevacen_US
dc.relation.ispartofProceedings on Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectData Miningen_US
dc.subjectFailure Analysisen_US
dc.subjectFMEen_US
dc.subjectMachining Industryen_US
dc.subjectQuality Improvementen_US
dc.titleFAILURE MODE AND EFFECTS ANALYSIS AND DATA MINING APPROACH TO QUALITY IMPROVEMENT IN MANUFACTURING INDUSTRYen_US
dc.typeArticleen_US

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