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dc.contributor.authorÜnal, Can
dc.contributor.authorKaya, Ayşegül
dc.contributor.authorŞentürk, Koral
dc.date.accessioned2022-05-11T14:28:18Z
dc.date.available2022-05-11T14:28:18Z
dc.date.issued2021
dc.identifier.issn1230-3666
dc.identifier.urihttps://doi.org/10.5604/01.3001.0014.6077
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6754
dc.description.abstractFabric defects are usually manually identified by quality control staff in the apparel industry. Control charts are an appropriate tool to achieve this goal. In this study, knitted fabric often used in an apparel factory were used in both the detection and classification process. The systematic classification of fabric defects such as critical, major, and minor types was achieved. Then, by calculating the D scores of fabric types, the types of errors out of the lower and upper control limits were determined. According to the results of the experiment, it was shown that the fabric grading process can be performed with demerit control charts.en_US
dc.language.isoengen_US
dc.publisherInst Chemical Fibresen_US
dc.identifier.doi10.5604/01.3001.0014.6077
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectapparel industryen_US
dc.subjectfabric gradingen_US
dc.subjectcontrol chartsen_US
dc.subjectdemerit control chartsen_US
dc.subjectquality controlen_US
dc.subjectStatistical Process-Controlen_US
dc.subjectVariable Sample-Sizeen_US
dc.subjectDefect Detectionen_US
dc.subjectDesignen_US
dc.titleDevelopment of a New Fabric Grading System with a Demerit Control Chart in the Apparel Industryen_US
dc.typearticleen_US
dc.relation.ispartofFibres & Textiles in Eastern Europeen_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Tekstil Mühendisliği Bölümüen_US
dc.authorid0000-0002-7885-7720
dc.identifier.volume29en_US
dc.identifier.issue2en_US
dc.identifier.startpage25en_US
dc.identifier.endpage29en_US
dc.institutionauthorÜnal, Can
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid24825293100
dc.authorscopusid57222613829
dc.authorscopusid57222616152
dc.authorwosidÜNAL, CAN/AAA-4025-2022
dc.identifier.wosWOS:000627418200003en_US
dc.identifier.scopus2-s2.0-85103460633en_US


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