نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، گروه مدیریت، دانشکده علوم انسانی آزادشهر، دانشگاه گنبد کاووس، گنبد کاووس، ایران

چکیده

انتخاب تامین کننده و تخصیص سفارش یکی از مهم‌ترین مسائل در مدیریت زنجیره تأمین است که می‌تواند تأثیر قابل توجهی بر روی عملکرد و بهره‌وری کلی یک سازمان داشته باشد. این تحقیق یک رویکرد مبتنی بر تصمیم‌گیری گروهی برای حل این مسئله ارائه می‌دهد. ابتدا، خروجی ارزیابی‌های تصمیم‌گیرندگان با استفاده از یک رویه کمّی به مجموعه‌های فازی فیثاغورثی بازه‌‌ای-مقدار تبدیل می‌شوند. سپس بر مبنای این عناصر فازی، روش کریتیک برای تعیین وزن معیارها به کار می‌رود. با استفاده از عملگر تجمیع موزون هندسی انیشتین و اوزان استخراج شده، عملکرد نهایی هر تامین‌کننده به صورت مجموعه فازی فیثاغورثی بازه‌‌ای-مقدار محاسبه می‌شود. در گام بعد یک مدل چند هدفه با توجه به پارامترهای تخصیص سفارش و عملکردهای بدست آمده از تامین کنندگان برای مسئله فرموله می‌شود. در نهایت از تکنیک برنامه‌ریزی فازی جهت حل مدل چند هدفه استفاده می‌شود. به منظور تحلیل کارایی رویکرد پیشنهادی، یک مثال کابردی بر اساس شاخص‌های زیست‌محیطی در نظر گرفته شده و تحلیل حساسیت بر روی وزن معیارها صورت می‌پذیرد تا منطقی بودن و کارایی نتایج ارزیابی شود. نتایج به دست آمده نشان‌دهنده عملکرد مناسب رویکرد پیشنهادی در حل مسئله انتخاب تامین کننده و تخصیص سفارش است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A multi-objective model based on group decision-making and interval-valued Pythagorean fuzzy sets for the supplier selection and order allocation problem

نویسنده [English]

  • Mehdi Keshavarz-Ghorabaee

Assistant Professor, Department of Management, Faculty of Humanities (Azadshahr Branch), Gonbad Kavous University, 49717-99151 Gonbad Kavous, Iran

چکیده [English]

Supplier selection and order allocation are two of the most important issues in supply chain management, which can have a significant impact on the overall performance and efficiency of an organization. This research presents a new approach based on group decision-making to address this problem. Firstly, the evaluation outputs of decision-makers are converted into interval-valued Pythagorean fuzzy sets using a quantitative procedure. Then, based on these fuzzy elements, the CRITIC method is employed to determine the weights of the criteria. Using the Einstein weighted geometric aggregation operator and the extracted weights, the final performance of each supplier is calculated as an interval-valued Pythagorean fuzzy set. In the next step, a multi-objective model is formulated considering the order allocation parameters and the obtained performances from the suppliers. Finally, the fuzzy programming technique is used to solve the multi-objective model. To analyze the efficiency of the proposed approach, a practical example based on environmental criteria is considered, and a sensitivity analysis is performed on the criteria weights to evaluate the reasonableness and efficiency of the results. The obtained results indicate the performance of the proposed approach in solving the supplier selection and order allocation problem.

کلیدواژه‌ها [English]

  • supplier selection
  • order allocation
  • group decision-making
  • Pythagorean fuzzy sets
  • multi-objective programming
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