جلد 36، شماره 2 - ( 3-1404 )                   جلد 36 شماره 2 صفحات 67-52 | برگشت به فهرست نسخه ها

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Abdollahi Kamran M, Afsharfar S, Al Mawali F, Babazadeh R, Al Balushi M. Application of fuzzy MCDM methods to Optimize Supplier Selection in Oil and Gas Industry of Oman. IJIEPR 2025; 36 (2) :52-67
URL: http://ijiepr.iust.ac.ir/article-1-2234-fa.html
Application of fuzzy MCDM methods to Optimize Supplier Selection in Oil and Gas Industry of Oman. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1404; 36 (2) :52-67

URL: http://ijiepr.iust.ac.ir/article-1-2234-fa.html

Application of fuzzy MCDM methods to Optimize Supplier Selection in Oil and Gas Industry of Oman
چکیده:   (491 مشاهده)
One of the most critical concerns in supply chain management (SCM) 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 multi-criteria decision-making (MCDM) methods including Fuzzy analytic hierarchy process (AHP) and Fuzzy technique for order preference by similarity to ideal solution (TOPSIS) methods to assess and select suppliers in oil and gas (O&G) industry. The critical criteria for supplier selection in the O&G 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 O&G industry.
     
نوع مطالعه: پژوهشي | موضوع مقاله: روش های تحلیل و تصمیم گیری
دریافت: 1403/10/7 | پذیرش: 1403/12/15 | انتشار: 1404/4/9
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