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

International Journal of Industrial Engineering and Management

Olga Yuryevna Voronkova¹  Kittisak Jermsittiparsert²  Ravil Zahar Akhmadeev³  Sergey Yurevich Bakhvalov⁴  Marziah Zahar⁵  Sri Sumarni⁶ 

[1] Altai State University, Barnaul, Russia;College of Innovative Business and Accountancy, Dhurakij Pundit University, Bangkok, Thailand;Department of Accounting and Taxation, Plekhanov Russian University of Economics, Moscow, Russia;Kazan Federal University, Kazan, Russia;Social Security Centre of Excellence (SoSCoE), School of Business Management (SBM), College of Business, Universiti Utara Malaysia, Kedah, Malaysia;Universitas Sebelas Maret, Surarta, Jawa Tengah, Indonesia;

关键词: supplier selection;    stable supplier;    fuzzy network analysis;    electre method;   

DOI  :  http://doi.org/10.24867/IJIEM-2021-4-292

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown