بهینه‌سازی چندهدفه زنجیره تأمین معکوس پایدار زباله‌های جامد شهری با در نظر گرفتن عدم قطعیت : رویکرد بهینه‌سازی استوار

نوع مقاله : پژوهشی

نویسندگان

1 کارشناسی ارشد، گروه مدیریت، دانشکده مدیریت و مالی، دانشگاه خاتم، تهران، ایران

2 استادیار، گروه مدیریت، دانشکده مدیریت و مالی، دانشگاه خاتم، تهران، ایران

چکیده

در سال‌های اخیر، مدیریت پسماند به دلیل افزایش جمعیت، شهرنشینی و تولید زباله، به یک چالش جدی تبدیل شده است. مدیریت نادرست پسماند نه تنها به محیط‌زیست آسیب می‌زند و آلودگی را افزایش می‌دهد، بلکه هزینه‌های اقتصادی را نیز افزایش داده و اثرات منفی بر سلامت و کیفیت زندگی انسان‌ها دارد. بنابراین، طراحی یک زنجیره تأمین پایدار که ابعاد اقتصادی، زیست‌محیطی و اجتماعی را همزمان در نظر بگیرد، بسیار مهم است. همچنین، به دلیل وجود عدم ‌قطعیت‌هایی مانند تغییر در حجم زباله‌های تولیدی و هزینه‌های زنجیره تأمین، در نظر گرفتن این عوامل در  مدیریت پسماند ضروری است. هدف این پژوهش، توسعه مدل ریاضی شبکه زنجیره تأمین معکوس پایدار جهت مدیریت پسماند جامد شهری است. در این مدل، پارامترهای هزینه‌های حمل‌ونقل بین مراکز به‌عنوان پارامترهای غیرقطعی در نظر گرفته شده‌اند. همچنین جهت در نظرگرفتن عدم قطعیت از رویکرد بهینه‌سازی استوار و روش برتسیمس‌وسیم استفاده شده است. در نهایت جهت بررسی اعتبار مدل یک مثال عددی حل شده است که با توجه به چندهدفه بودن مدل از روش محدودیت اپسیلون برای حل استفاده شده است. بر اساس نتایج، مدل طراحی‌شده می‌تواند هزینه‌های مدیریت پسماند، از جمله هزینه‌های انتقال پسماند و هزینه‌های عملیاتی مانند جمع‌آوری، تفکیک، پردازش، بازیافت را کاهش دهد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Multi-Objective Optimization of Sustainable Reverse Supply Chain for Municipal Solid Waste Considering Uncertainty: Robust Optimization Approach

نویسندگان [English]

  • Mohammad Mozafari 1
  • Maryam Daneshvar 2
  • Fatemeh KarimiJafari 2
1 Master's Degree, Department of Management, Faculty of Management and Finance, Khatam University, Tehran, Iran.
2 Assistant Professor, Department of Management, Faculty of Management and Finance, Khatam University, Tehran, Iran.
چکیده [English]

In recent years, waste management has become a serious challenge due to the increase in population, urbanization, and waste production. Improper waste management not only damages the environment and increases pollution, but also increases economic costs and has negative effects on human health and quality of life. Therefore, designing a sustainable supply chain that simultaneously considers economic, environmental, and social dimensions is very important. Also, due to the existence of uncertainties such as changes in the volume of waste produced and supply chain costs, it is essential to consider these factors in waste management. The aim of this research is to develop a mathematical model of a sustainable reverse supply chain network for municipal solid waste management. In this model, the parameters of transportation costs between centers are considered as uncertain parameters. Also, the robust optimization approach and the Bertsims-Wasim method have been used to consider uncertainty. Finally, to verify the validity of the model, a numerical example has been solved, which, due to the multi-objective nature of the model, has been solved using the epsilon constraint method. Based on the results, the designed model can reduce waste management costs, including waste transportation costs and operational costs such as collection, separation, processing, and recycling.

کلیدواژه‌ها [English]

  • Reverse Supply Chain
  • Sustainable Supply Chain
  • Waste Management
  • Robust Optimization

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دوره 27، شماره 88 - شماره پیاپی 88
شماره پیا پی 88 پاییز 1404
آبان 1404
صفحه 1-34
  • تاریخ دریافت: 14 بهمن 1403
  • تاریخ بازنگری: 18 فروردین 1404
  • تاریخ پذیرش: 15 شهریور 1404
  • تاریخ انتشار: 30 آبان 1404