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

Author

Listed:
  • Alireza Parsa Rad

    (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran)

  • Mohammad Khalilzadeh

    (Industrial Engineering Department, Faculty of Engineering and Natural Sciences, Istinye University, Sarıyer 34396, Turkey)

  • Sayyid Ali Banihashemi

    (Department of Industrial Engineering, Payame Noor University, Tehran 193954697, Iran)

  • Darko Božanić

    (Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11000 Belgrade, Serbia)

  • Aleksandar Milić

    (Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11000 Belgrade, Serbia)

  • Goran Ćirović

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica-6, 21000 Novi Sad, Serbia)

Abstract

A 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.

Suggested Citation

  • Alireza Parsa Rad & Mohammad Khalilzadeh & Sayyid Ali Banihashemi & Darko Božanić & Aleksandar Milić & Goran Ćirović, 2024. "Supplier Selection in Downstream Oil and Gas and Petrochemicals with the Fuzzy BWM and Gray COCOSO Methods Considering Sustainability Criteria and Uncertainty Conditions," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:880-:d:1322740
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    References listed on IDEAS

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    1. Mohammadivojdan, Roshanak & Merzifonluoglu, Yasemin & Geunes, Joseph, 2022. "Procurement portfolio planning for a newsvendor with supplier delivery uncertainty," European Journal of Operational Research, Elsevier, vol. 297(3), pages 917-929.
    2. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Jafar Rezaei, 2020. "A Concentration Ratio for Nonlinear Best Worst Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 891-907, May.
    4. Thevenin, Simon & Ben-Ammar, Oussama & Brahimi, Nadjib, 2022. "Robust optimization approaches for purchase planning with supplier selection under lead time uncertainty," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1199-1215.
    5. Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    6. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.
    7. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
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