Selection of Raw Material for Biodiesel Production in Turkey

dc.contributor.authorSamanlıoğlu, Funda
dc.contributor.authorAksu, Enver
dc.contributor.authorNacak, Melis
dc.contributor.authorDirekçi, Reşat Batuhan
dc.date.accessioned2021-02-13T18:59:53Z
dc.date.available2021-02-13T18:59:53Z
dc.date.issued2013
dc.description.abstractSelection of the appropriate raw material for biodiesel production is a complex problem and requires an extensive evaluation process. In this paper, as raw materials of biodiesel production, sunflower, safflower, canola, algae, cottonseed, soybean, and palm plants are taken into consideration. These decision alternatives are evaluated with respect to several criteria such as price adequacy, suitability of the plant to the climate, land or area, benefits of the plant after processing (the sediment), and suitability of the raw material for technological processing. As the multiple attributes decision-making method; a fuzzy TOPSIS method is implemented in order to select the appropriate raw material for biodiesel production in Turkey.en_US
dc.identifier.citation0
dc.identifier.endpage853en_US
dc.identifier.scopus2-s2.0-84900317312en_US
dc.identifier.startpage847en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3909
dc.institutionauthorSamanlıoğlu, Fundaen_US
dc.institutionauthorSamanlıoğlu, Funda
dc.institutionauthorNacak, Melisen_US
dc.institutionauthorDirekçi, Reşat Batuhanen_US
dc.language.isoenen_US
dc.publisherInstitute of Industrial Engineersen_US
dc.relation.journalIIE Annual Conference and Expo 2013en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiodiesel productionen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectMultiple criteria decision makingen_US
dc.subjectRaw material selectionen_US
dc.titleSelection of Raw Material for Biodiesel Production in Turkeyen_US
dc.typeBook Parten_US
dspace.entity.typePublication
relation.isAuthorOfPublication4e74c274-0592-4792-ac57-00061bd273aa
relation.isAuthorOfPublication.latestForDiscovery4e74c274-0592-4792-ac57-00061bd273aa

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