بهره‌گیری از روش واسپاس فازی شهودی با مقادیر بازه‌ای به‌منظور ارزیابی راهکارهای اجرای لجستیک معکوس در زنجیره تأمین لارج

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، دانشگاه تهران.

2 دانشجوی دکتری، دانشگاه علامه طباطبایی.

3 کارشناس ارشد، دانشگاه مازندران.

چکیده

توجه به مسائل زیست‌محیطی منجر به استفاده از لجستیک معکوس در زنجیره تأمین شده است؛ اما اجرای لجستیک معکوس به‌­دلیل نوع مدل‌های مدیریت موجودی دارای عملکرد ضعیفی است؛ ازاین‌رو در این پژوهش به‌منظور بهبود عملکرد زنجیره تأمین از پارادایم‌های ناب، چابک، تاب‌آوری و سبز (لارج) استفاده می‌شود. هدف این پژوهش شناسایی و اولویت‌بندی راهکارهای اجرای لجستیک معکوس در زنجیره تأمین لارج به‌منظور بهبود عملکرد زنجیره تأمین است. در پژوهش حاضر از رویکرد خبره­‌محور فازی شهودی با مقادیر بازه‌ای استفاده شده است. از مجموعه‌های فازی شهودی بازه‌ای برای وزن‌­دهی و از روش واسپاس فازی شهودی بازه‌ای برای اولویت‌بندی راهکارها بهره‌گیری شد. با توجه به نتایج، راهکار نخست (ایجاد، توسعه و سرمایه‌گذاری در فن‌آوری لجستیک معکوس)، راهکار دهم (توسعه زنجیره تأمین حلقه‌­بسته از طریق یکپارچه‌سازی با لجستیک معکوس) و راهکار نهم (ساخت همکاری الکترونیکی برای هماهنگی سریع و مؤثر در میان اعضای زنجیره تأمین) به­‌ترتیب به‌عنوان راهکارهای برتر در این مورد مطالعاتی معرفی شدند. توسعه و سرمایه‌گذاری در فناوری‌های لجستیک معکوس، یکپارچه‌سازی و همکاری الکترونیکی و بهبود هماهنگی به‌منظور بهبود عملکرد اجرای لجستیک معکوس در زنجیره تأمین ضروری است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Utilization of Intuitive Fuzzy WASPAS Method with Interval Values to Evaluation of Reverse Logistics Implementation Actions in the LARG Supply Chain

نویسندگان [English]

  • Mohammad Reza Sadeghi Moghadam 1
  • Seyyed Jalaladdin Hosseini Dehshiri 2
  • Fatemeh Zahra Rajabi Kafshgar 3
  • Seyyed Saba Sinaei 2
1 Associate Professor, University of Tehran.
2 Ph.D. Student, Allameh Tabataba'i University.
3 MSc., University of Mazandaran.
چکیده [English]

Attention to environmental issues has led to the application of reverse logistics in the supply chain. But, the implementation of reverse logistics is weak because of the type of inventory management models. Therefore, in this research, to improve supply chain performance was used lean, agile, resilient, and green (LARG) paradigms. The purpose of this research is to identify and prioritize the solutions of reverse logistics implementation in the LARG supply chain to improve supply chain performance. In this research, the Interval-valued Intuitionistic Fuzzy expert-driven approach was used. Interval-valued Intuitionistic Fuzzy sets were used for weighting the evaluation criteria, and the Interval-valued Intuitionistic Fuzzy WASPAS method was used to prioritize solutions. The findings indicated that the first solution (creation, development, and investment in reverse logistics technology), the Tenth solution (development of the closed-loop supply chain through integration with reverse logistics), and the ninth solution (building electronic collaboration for rapid and effective coordination in among the members of the supply chain), respectively, were introduced as the best solutions in this study. The development and investment in reverse logistics technologies, electronic integration, and collaboration, and improved coordination are essential to improve the performance of reverse logistics implementation in the supply chain.

کلیدواژه‌ها [English]

  • LARG Supply Chain
  • Reverse Logistics
  • Interval-Valued Intuitionistic Fuzzy
  • WASPAS
  • Multi-Criteria Decision-Making

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