Oilseed warehouse location selection with an integrated approach: a case of Turkey

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dc.authorid0000-0001-8934-3787en_US
dc.contributor.authorGergin, Ramazan Eyüp
dc.contributor.authorPeker, İskender
dc.contributor.authorBaki, Birdoğan
dc.contributor.authorTuzkaya, Umut Rıfat
dc.contributor.authorTanyaş, Mehmet
dc.date.accessioned2024-07-12T20:54:08Z
dc.date.available2024-07-12T20:54:08Z
dc.date.issued2022en_US
dc.departmentFakülteler,İnsan ve Toplum Bilimleri Fakültesi, Uluslararası Ticaret ve Lojistik Yönetimi Bölümüen_US
dc.description.abstractPurpose – Agricultural sector not only meets the nutritional requirements of all living creatures but also generates the primary source of the raw material provided by various branches of industry to fulfill their functions. It is of great importance to increase studies on oilseeds which have an important role in Turkey’s agricultural products. They are grown in almost all of the country, which are vital for the nutrition and many sectors. The main purpose of the study is to offer an integrated approach to determine potential warehouse locations for oilseeds. Design/methodology/approach – This is the first study that integrates Delphi, analytical hierarchical process (AHP), technique for order preference by similarity to ideal solution (TOPSIS), P-Median and Panel data analysis in a real case. This integrated approach consists of the following steps, respectively: (1) The criteria were determined by the Delphi method. (2) The weights of the criteria were calculated by AHP and the provinces with the highest oilseed warehouse potential in seven regions of Turkey were specified by TOPSIS. (3) Oilseed warehouse numbers and locations were obtained by P-Median. (4) In order to answer whether the distribution network is profitable in the future with the determined center locations, a forecast model based on panel data analysis was created. (5) Regional representatives were determined for 2030, and the distribution network was analyzed again. (6) The costs that arose in 2018 and 2030 were computed and compared by cost analysis. (7) The effect of the change in criteria weights on the alternative results was tested by scenario analysis. Findings – The findings indicated that oilseed crop production potential and oilseed crop production area turned out to be the most important criteria. Furthermore, the results showed that this model is robust and suitable for warehouse location selection studies. Practical implications – The study can serve as a guide for local and central policy makers with both the criteria it uses and the model it develops. Originality/value – The main contribution of this study is that the integrated approach has been used for the first time in location selection in a real case.en_US
dc.identifier.citationGergin, R.E., Peker, I., Baki, B., Tuzkaya, U.R. and Tanyaş, M. (2023). Oilseed warehouse location selection with an integrated approach: a case of Turkey. Kybernetes, 52(9), p.3667-3705.en_US
dc.identifier.doi10.1108/k-10-2021-1072
dc.identifier.endpage3705en_US
dc.identifier.issn0368-492X
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85127397791en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage3667en_US
dc.identifier.urihttps://doi.prg/10.1108/k-10-2021-1072
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2704
dc.identifier.volume52en_US
dc.identifier.wosWOS:000776224100001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTanyaş, Mehmet
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.relation.ispartofKybernetesen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY02180
dc.subjectAgricultural sectoren_US
dc.subjectDelphien_US
dc.subjectMCDMen_US
dc.subjectOilseeden_US
dc.subjectP-Medianen_US
dc.subjectPanel data analysisen_US
dc.subjectWarehouse location selectionen_US
dc.titleOilseed warehouse location selection with an integrated approach: a case of Turkeyen_US
dc.typeArticle
dspace.entity.typePublication

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