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Application of fuzzy MCDM methods to Optimize Supplier Selection in Oil and Gas Industry of Oman
Mehdi Abdollahi Kamran1 , Samira Afsharfar1 , Fatma Al Mawali1 , Reza Babazadeh 2, Marya Al Balushi1
1- Department of Logistics, Tourism, and Services Management, German University of Technology in Oman, P. O. Box 1816, PC 130, Muscat, Oman
2- Department of Industrial Engineering, Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran , r.babazadeh@urmia.ac.ir
Abstract:   (242 Views)
One of the most critical concerns in supply chain management is supplier selection, which significantly impacts an organization's efficiency and market agility. Balancing ordinal and basic criteria in supplier selection has become increasingly crucial in recent years within SCM. This research presents three MCDM methods including Fuzzy AHP and Fuzzy TOPSIS methods to assess and select suppliers in oil and gas industry. The critical criteria for supplier selection in the oil and gas sector have been reviewed in the literature and validated by experts actively working in the field. Initially, the Fuzzy AHP technique determines criterion weights and ranks suppliers. Subsequently, the Fuzzy TOPSIS approach is applied to rank prospective suppliers identified through objective evaluation. The findings show the capability of the utilized approaches in supplier selection procedure in oil and gas industry.
 
Keywords: Supplier Selection, Oil and Gas Industry, Fuzzy AHP, Fuzzy TOPSIS, MCDM
     
Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2024/12/27 | Accepted: 2025/03/5
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