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Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods

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dc.contributor.author Jermsittiparsert K.
dc.contributor.author Zahar M.
dc.contributor.author Sumarni S.
dc.contributor.author Voronkova O.Y.
dc.contributor.author Bakhvalov S.Y.
dc.contributor.author Akhmadeev R.
dc.date.accessioned 2022-02-09T20:47:36Z
dc.date.available 2022-02-09T20:47:36Z
dc.date.issued 2021
dc.identifier.issn 2217-2661
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/170325
dc.description.abstract Due to the globalization of competition in various fields, suppliers must have the best performance by creating different competitive advantages. In addition, the oil and gas industry has lots of sustainability issues in the supply phase. Accordingly, this study provides a comprehensive framework for ranking and selecting sustainable suppliers in the oil and gas industry. In this research, first, using the fuzzy analytical network process method, the indicators of selecting stable suppliers are ranked. Next, by applying the Electre method, the most appropriate suppliers are chosen. Numerical results show that the quality indicators of materials purchased from suppliers and commitment to contracts were ranked first and second among all criteria. Moreover, the efficiency of the proposed framework is approved by comparing with the real-world situation.
dc.relation.ispartofseries International Journal of Industrial Engineering and Management
dc.subject Electre Method
dc.subject Fuzzy Network Analysis
dc.subject Stable Supplier
dc.subject Supplier Selection
dc.title Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods
dc.type Article
dc.relation.ispartofseries-issue 4
dc.relation.ispartofseries-volume 12
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 253
dc.source.id SCOPUS22172661-2021-12-4-SID85121278089


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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