Form of presentation | Articles in international journals and collections |
Year of publication | 2021 |
Язык | английский |
|
Bakhvalov Sergey Yurevich, author
|
Bibliographic description in the original language |
Jermsittiparsert K, Zahar M, Sumarni S, Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods//International Journal of Industrial Engineering and Management. - 2021. - Vol.12, Is.4. - P.253-261. |
Annotation |
Due to the globalization of competition in various fields, suppliers must have the best perfor
mance 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 compre
hensive 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 appro
priate 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. |
Keywords |
Supplier Selection;
Stable Supplier;
Fuzzy Network Analysis;
Electre Method |
The name of the journal |
International Journal of Industrial Engineering and Management
|
URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121278089&doi=10.24867%2fIJIEM-2021-4-292&partnerID=40&md5=9b15873deccf7950cc9ed9d7a5fffd6b |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=262055&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Bakhvalov Sergey Yurevich |
ru_RU |
dc.date.accessioned |
2021-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2021-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2021 |
ru_RU |
dc.identifier.citation |
Jermsittiparsert K, Zahar M, Sumarni S, Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods//International Journal of Industrial Engineering and Management. - 2021. - Vol.12, Is.4. - P.253-261. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=262055&p_lang=2 |
ru_RU |
dc.description.abstract |
International Journal of Industrial Engineering and Management |
ru_RU |
dc.description.abstract |
Due to the globalization of competition in various fields, suppliers must have the best perfor
mance 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 compre
hensive 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 appro
priate 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. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
|
ru_RU |
dc.title |
Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|