Supplier Selection in Downstream Oil and Gas and Petrochemicals with the Fuzzy BWM and Gray COCOSO Methods Considering Sustainability Criteria and Uncertainty Conditions

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dc.authoridBozanic, Darko/0000-0002-9657-0889
dc.authoridMilic, Aleksandar/0000-0002-2642-0340
dc.authoridKHALILZADEH, MOHAMMAD/0000-0002-2373-8505
dc.authoridBanihashemi, Sayyid Ali/0000-0003-4676-2847
dc.authorwosidBozanic, Darko/X-9329-2018
dc.authorwosidMilic, Aleksandar/AFK-1254-2022
dc.authorwosidBanihashemi, Sayyid Ali/M-8445-2017
dc.contributor.authorRad, Alireza Parsa
dc.contributor.authorKhalilzadeh, Mohammad
dc.contributor.authorBanihashemi, Sayyid Ali
dc.contributor.authorBozanic, Darko
dc.contributor.authorMilic, Aleksandar
dc.contributor.authorCirovic, Goran
dc.date.accessioned2024-05-19T14:46:19Z
dc.date.available2024-05-19T14:46:19Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractA project always needs the participation of suppliers to provide the goods and services needed by the project. As the size of the project increases, the need to use suppliers also increases. Choosing the appropriate suppliers for the project is always a difficult task, and considering different criteria along with the existence of multiple alternatives always increases the difficulty and complexity of the supplier selection problem. This study deals with the supplier selection problem, which is one of the important issues in projects and organizations in the downstream field of oil, gas, and petrochemicals. The purpose of this paper was to investigate and improve the supplier selection procedure in this field by considering real-world uncertain conditions. To this end, the fuzzy set theory and gray numbers were taken into account. In the present study, the criteria were first determined by expert judgment; then, the fuzzy best-worst method (FBWM) was exploited to rank the criteria; finally, the suppliers were prioritized and ranked by using the gray COCOSO method The results showed that the highest and the lowest weights were obtained for the price and attention to environmental issues criteria, respectively. Also, the selected supplier was a supplier with a high score in all criteria. One of the practical benefits of this research is to provide a solution to speed up, facilitate, and improve the process of selecting suppliers for companies in the downstream field of oil, gas, and petrochemicals.en_US
dc.identifier.doi10.3390/su16020880
dc.identifier.issn2071-1050
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85183414617en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.3390/su16020880
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5495
dc.identifier.volume16en_US
dc.identifier.wosWOS:001151185400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSustainabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectProject Managementen_US
dc.subjectSupplier Selectionen_US
dc.subjectFuzzy Best-Worst Method (Fbwm)en_US
dc.subjectCocoso-Gen_US
dc.subjectOil And Gas Industryen_US
dc.subjectPetrochemical Downstreamen_US
dc.titleSupplier Selection in Downstream Oil and Gas and Petrochemicals with the Fuzzy BWM and Gray COCOSO Methods Considering Sustainability Criteria and Uncertainty Conditionsen_US
dc.typeArticleen_US

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