توسعه مدل ریاضی زنجیره تامین حلقه بسته با محدودیت‌های تقاضا و ظرفیت تامین کننده فازی و حل آن با الگوریتم‌های فرا ابتکاری

نوع مقاله : پژوهشی

نویسندگان

1 استادیار گروه مدیریت، واحد ایلام، دانشگاه آزاد اسلامی، ایلام، ایران

2 استادیار گروه مدیریت، دانشکده علوم انسانی، دانشگاه حضرت معصومه (س)، قم، ایران

چکیده

امروزه برای دستیابی به منافع رقابتی در بازار، طراحی شبکه زنجیره تامین، امری ضروری است. بهینه سازی این شبکه منجر به مدیریت کارا و موثر عملیات کل زنجیره تامین می‌شود. در این مقاله یک زنجیره تامین حلقه بسته طراحی شده است که به صورت چند هدفه، چند سطحی و تک محصولی با بازگشت محصول بررسی می‌شود. اهداف اصلی این مسئله، حداقل کردن هزینه‌ها، افزایش سود حاصل از محصول بازیافتی، افزایش صرفه جویی هزینه‌های حاصل از بازیافت و اثرات زیست محیطی می‌باشد. از طرفی با توجه به اینکه در دنیای واقعی، داده‌های مربوط به شاخص‌های اثرگذار در مسائل، به صورت قطعی در دسترس نمی‌باشد بنابراین استفاده از رویکرد غیرقطعی مناسبتر خواهد بود. در این مطالعه نیز، تقاضا و ظرفیت تامین کننده غیر قطعی و رویکرد استفاده شده برای حل مدل چند هدفه رویکرد  THو با استفاده از نرم افزار GAMS حل و مورد بررسی قرار گرفت. با افزایش سایز مسئله، حل مدل با روش ذکر شده غیر ممکن است بنابراین مسئله پیشنهادی با استفاده از الگوریتم‌های MOPSO و NSGA-II حل و نتایج عملکرد هر دو الگوریتم با هم مورد مقایسه قرار گرفت. نتایج نشان دهنده این است که جواب‌های تولیدی با الگوریتم NSGA-II از کیفیت بالاتری برخوردار است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Development of a Closed-Loop Supply Chain Mathematical Model with Demand Constraints and Fuzzy Supplier Capacity and Solving it with Meta-Heuristic Algorithms

نویسندگان [English]

  • dadegh feizollahi 1
  • Vahid sharafi 2
1 Assistant Professor, Department of Management, Faculty of Humanities, Islamic Azad University, Ilam Branch
2 Department of Management, Faculty of Humanities, Hazrat Masoumeh University, Qom, Iran
چکیده [English]

Nowadays, in order to achieve competitive advantages in the market, it is essential to design the supply chain network. Optimizing this network leads to efficient and effective management of the entire supply chain operation. In this article, a closed loop supply chain is designed, which is examined as multi-objective, multi-level and single product with product returns. The main goals of this issue are to minimize costs, increase profit from recycled products, increase cost savings from recycling and environmental effects. On the other hand, due to the fact that in the real world, the data related to the effective indicators in the problems are not available definitively, so it will be more appropriate to use the non-deterministic approach. In this study, the demand and capacity of the non-deterministic supplier and the approach used to solve the TH approach multi-objective model were solved and investigated using GAMS software. By increasing the size of the problem, it is impossible to solve the model with the mentioned method, so the proposed problem was solved using MOPSO and NSGA-II algorithms and the performance results of both algorithms were compared. The results show that the answers produced by the NSGA-II algorithm are of higher quality.

کلیدواژه‌ها [English]

  • Closed Loop Supply Chain
  • Fuzzy Demand
  • Fuzzy Supplier Capacity
  • NSGA-II Algorithm
  • MOPSO Algorithm

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  • تاریخ دریافت: 25 مرداد 1401
  • تاریخ بازنگری: 16 اردیبهشت 1402
  • تاریخ پذیرش: 10 خرداد 1402
  • تاریخ انتشار: 01 تیر 1402

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