A grey system for the forecasting of return product quantity in recycling network

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dc.authorid0000-0002-8098-3611en_US
dc.contributor.authorAyvaz, Berk
dc.contributor.authorBoltürk, Eda
dc.contributor.authorKaçtıoğlu, Sibkat
dc.date.accessioned2019-08-08T09:15:33Z
dc.date.available2019-08-08T09:15:33Z
dc.date.issued2014en_US
dc.departmentFakülteler, Mühendislik ve Tasarım Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIn recent years, Reverse Logistics (RL) activities has gained much attention in terms of economic, social and governmental reasons. For firms, it has become important to manage the reverse flow of products in an efficient way to obtain competitive advantage. However to design RL network is difficult because of some reasons. Especially, uncertain parameters related to return product quantity, quality and time are main characteristics of RL networks. One of the most important decisions of RL is to provide a correct and timely estimation of return waste product quantity, because it affects many decisions related to RL network design process directly. To predict return product in RL networks, intrinsic and extrinsic forecasting are some of the well-known and frequently used forecasting techniques. In this study, we proposed a grey forecasting system to forecast return product quantity in RL network. The contribution of this study is the first study that presented grey forecasting model for product return quantity in reverse logistics network design literature. Solutions showed that grey forecasting system is very efficient to predict return quantity.en_US
dc.identifier.endpage112en_US
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84949804558en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage105en_US
dc.identifier.urihttps://hdl.handle.net/11467/2853
dc.identifier.volume3en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherExcelingTech Publishersen_US
dc.relation.ispartofInternational Journal of Supply Chain Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectReverse Logisticsen_US
dc.subjectUncertaintyen_US
dc.subjectGrey Systemsen_US
dc.subjectReturn Product Forecastingen_US
dc.subjectE-Wasteen_US
dc.titleA grey system for the forecasting of return product quantity in recycling networken_US
dc.typeArticleen_US

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