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

Alireza Parsa Rad, Mohammad Khalilzadeh (), Sayyid Ali Banihashemi, Darko Božanić (), Aleksandar Milić and Goran Ćirović
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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

Sustainability, 2024, vol. 16, issue 2, 1-18

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.

Keywords: project management; supplier selection; fuzzy best–worst method (FBWM); COCOSO-G; oil and gas industry; petrochemical downstream (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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