Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29351
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dc.date.accessioned2022-11-03T11:18:22Z-
dc.date.available2022-11-03T11:18:22Z-
dc.date.issued2017-02-
dc.identifier.citationEne, S. ve Öztürk, N. (2017). ''Grey modelling based forecasting system for return flow of end-of-life vehicles''. Technological Forecasting and Social Change, 115, 155-166.en_US
dc.identifier.issn0040-1625-
dc.identifier.issn1873-5509-
dc.identifier.urihttps://doi.org/10.1016/j.techfore.2016.09.030-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0040162516303675-
dc.identifier.urihttp://hdl.handle.net/11452/29351-
dc.description.abstractDue to legislation and economic reasons, firms in most industries are forced to be responsible and manage their products at the end of their lives. Management of product returns is critical for the stability and profitability of a reverse supply chain. Forecasting the return amounts and timing is beneficial. The purpose of this paper is to develop a forecasting system for discarded end-of-life vehicles and to predict the number of end-of-life vehicles that will be generated in the future. To create the forecasting system, grey system theory, which uses a small amount of the most recent data, is employed. The accuracy of the grey model is improved with parameter optimization, Fourier series and Markov chain correction. The proposed models are applied to the case of Turkey and data sets of twelve regions in Turkey are considered. The obtained results show that the proposed forecasting system can successfully govern the phenomena of the data sets, and high accuracy can be provided for each region in Turkey. The proposed forecasting system can be used as a strategic tool in similar forecasting problems, and supportive guidance can be achieved.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBusiness & economicsen_US
dc.subjectPublic administrationen_US
dc.subjectEnd-of-life vehiclesen_US
dc.subjectForecastingen_US
dc.subjectGrey modellingen_US
dc.subjectProduct returnsen_US
dc.subjectReverse logisticsen_US
dc.subjectProduct returnsen_US
dc.subjectSupply chainen_US
dc.subjectPredictionen_US
dc.subjectConsumptionen_US
dc.subjectDesignen_US
dc.subjectTimeen_US
dc.subjectTurkeyen_US
dc.subjectFourier seriesen_US
dc.subjectMarkov processesen_US
dc.subjectSupply chainsen_US
dc.subjectSystem theoryen_US
dc.subjectVehiclesen_US
dc.subjectEnd-of-life vehiclesen_US
dc.subjectForecasting problemsen_US
dc.subjectForecasting systemen_US
dc.subjectGrey system theoryen_US
dc.subjectParameter optimizationen_US
dc.subjectProduct returnsen_US
dc.subjectReverse supply chainsen_US
dc.subjectStrategic toolen_US
dc.subjectFlow modelingen_US
dc.subjectForecasting methoden_US
dc.subjectFourier transformen_US
dc.subjectMarkov chainen_US
dc.subjectOptimizationen_US
dc.subjectProfitabilityen_US
dc.subjectForecastingen_US
dc.titleGrey modelling based forecasting system for return flow of end-of-life vehiclesen_US
dc.typeArticleen_US
dc.identifier.wos000393347100014tr_TR
dc.identifier.scopus2-s2.0-84991210354tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.tr_TR
dc.identifier.startpage155tr_TR
dc.identifier.endpage166tr_TR
dc.identifier.volume115tr_TR
dc.relation.journalTechnological Forecasting and Social Changeen_US
dc.contributor.buuauthorEne, Seval-
dc.contributor.buuauthorÖztürk, Nursel-
dc.contributor.researcheridAAG-8949-2021tr_TR
dc.contributor.researcheridAAG-9336-2021tr_TR
dc.subject.wosBusinessen_US
dc.subject.wosRegional & urban planningen_US
dc.indexed.wosSSCIen_US
dc.indexed.scopusScopusen_US
dc.wos.quartileQ2en_US
dc.contributor.scopusid48461146800tr_TR
dc.contributor.scopusid7005688805tr_TR
dc.subject.scopusClosed-Loop Supply Chain; Remanufacturing; Reverse Logisticsen_US
Appears in Collections:Scopus
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