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dc.contributor.authorDal, Vedat
dc.contributor.authorAkçagün, Engin
dc.contributor.authorYılmaz, Abdurrahim
dc.date.accessioned2025-01-09T20:08:24Z
dc.date.available2025-01-09T20:08:24Z
dc.date.issued2013
dc.identifier.issn1230-3666
dc.identifier.urihttps://hdl.handle.net/20.500.14124/8186
dc.description.abstractBusinesses apply different techniques to keep pace with the incremental competition conditions and changing consumer demands. Lean manufacturing is one of the most effective techniques, which is a systematic approach to identifying and eliminating waste through continuous improvement by flowing the product. The implementation of lean manufacturing starts with the development of Value Stream Maps. A value stream is comprised of all the actions, both value added and,on-value added. The main strategy of lean manufacturing, is increasing the operating speed, reducing the duration of flow quality, and improving the cost and delivery performance. This study was carried out at a men's shirt producer i.e. a ready wear company. First of all, the current state of the production lines was analysed within the scope of the study. Then shirt production lines were organised with the lean manufacturing techniques. As a result, some improvements were made in productivity, quality and lead time.en_US
dc.language.isoengen_US
dc.publisherInst Chemical Fibresen_US
dc.relation.ispartofFibres & Textiles in Eastern Europeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectready wear industryen_US
dc.subjectlean manufacturing men's shirten_US
dc.subjectproductivityen_US
dc.titleUsing Lean Manufacturing Techniques to Improve Production Efficiency in the Ready Wear Industry and a Case Studyen_US
dc.typearticleen_US
dc.authorid0000-0002-3668-7268
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.volume21en_US
dc.identifier.issue4en_US
dc.identifier.startpage16en_US
dc.identifier.endpage22en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityQ3
dc.identifier.wosWOS:000321806100003
dc.identifier.scopus2-s2.0-84879526047
dc.indekslendigikaynakWeb of Scienceen_US


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