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

XML English Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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:   (543 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
ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA
بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به نشریه بین المللی مهندسی صنایع و تحقیقات تولید می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2025 CC BY-NC 4.0 | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb