مدل تلفیقی اولویت‌بندی فازی و پرومته برای انتخاب تأمین‌کننده

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 کارشناس ارشد مدیریت صنعتی، دانشکدة علوم انسانی، دانشگاه آزاد اسلامی (واحد ساوه)، ساوه، ایران

2 استادیار گروه مدیریت دانشکدۀ مدیریت دانشگاه قم، قم، ایران

چکیده

ارزیابی و انتخاب تأمین‌کنندگان از ارکان مهم مدیریت زنجیرة تأمین است. تاکنون پژوهشگران با اتکا به نظریة مجموعه‌های فازی، راهکارهایی را برای مواجهه با عدم اطمینان نشئت‎گرفته از شرایط مبهم و سربستة مسئلة چندمعیارة انتخاب تأمین‌کنندگان ارائه داده‌اند. با وجود این، پیچیدگی محاسبات در روش‌های سنتی وزن‌دهی فازی یکی از ایرادهای وارد بر این روش‌ها بوده است. در این مقاله، برای پرهیز از این پیچیدگی‌ها، استفاده از روش‌ اولویت‌بندی فازی پیشنهاد شده است. این روش به فازی‌زدایی اعداد فازی‌شده و استانداردسازی بردار وزن‎ اهمیت شاخص‎ها نیازی ندارد و می‌تواند بدون اتکا به مقایسه‌های زوجی خبرگان و با استفاده از مدل بهینه‌سازی فازی، بهترین ماتریس وزن‎های اهمیت را ارائه دهد. ترکیب نتایج این روش با روش رتبه‌بندی پرومته، چارچوب اثربخشی را برای حل مسئلة ارزیابی و انتخاب تأمین‌کنندگان ارائه داده است. به‌کارگیری این چارچوب برای ارزیابی و انتخاب تأمین‌کنندگان قطعات یکی از شرکت‌های خودروسازی ایران، مؤید این ادعا است

کلیدواژه‌ها


عنوان مقاله [English]

A Hybrid Fuzzy Prioritization - PROMETHEE Model for Supplier Selection

نویسندگان [English]

  • Ibrahim Karami 1
  • Rahim Foukerdi 2
1 MSc. Student in Industrial Management, College of Human Sciences, Islamic Azad University (Saveh Branch), Saveh, Iran
2 Assistant Prof. in Production and Operations Management, University of Qom, Qom, Iran
چکیده [English]

Abstract: Evaluation and selection of suppliers is one of the important pillars in supply chain management. Thanks to the fuzzy sets theory, researchers try to provide several methods to deal with uncertainty which is constituted by vague situations in supplier selection problem. However, one of the biggest shortcomings in these methods is complexity in fuzzy weighting calculation. To avoid this problem in the traditional fuzzy weighting methods, this paper is used a fuzzy ranking method. This method does not require defuzzifing of fuzzy numbers and standardizing of weighted vector. Instead, this method can provide best weigted vector using a fuzzy optimization model without relying on experts’ paired comparisons. The combination of this method and PROMETHEE ranking method provides an effective model for solving the supplier selection problem. Application of this model in Iran auto industry has shown its effectiveness.

کلیدواژه‌ها [English]

  • Supplier Selection
  • Fuzzy Prioritization Method
  • PROMETHEE
  • Supply Chain
  • Auto industry
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