توسعه یک رویکرد برنامه‌ریزی فازی استوار برای طراحی زنجیره تأمین حلقه‌بسته

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، پردیس فارابی دانشگاه تهران.

2 استاد، دانشگاه تربیت مدرس.

3 استاد، پردیس فارابی دانشگاه تهران.

چکیده

طی یک دهه گذشته با توجه به افزایش اهمیت رقابت‌پذیری اقتصادی و نگرانی‌های زیست‌محیطی در زمینه محصولات فرسوده، موضوع زنجیره تأمین حلقه‌بسته موردتوجه پژوهشگران قرار گرفته است. پژوهش حاضر درصدد توسعه یک رویکرد برنامه‌ریزی تصادفی فازی استوار با استفاده از مفاهیم برنامه‌ریزی با محدودیت‌های اعتبار و میانگین انحراف مطلق برای طراحی شبکه زنجیره تأمین حلقه‌بسته تحت شرایط عدم‌قطعیت ترکیبی است. در مدل پیشنهادی فرض می‌شود که هزینه ثابت احداث مراکز تولیدی به‌صورت غیرخطی و تابعی از سطح ظرفیت است. این مدل با استفاده از یک تکنیک خطی‌سازی به یک مدل خطی معادل تبدیل می‌شود. در این مدل دو منبع عدم‌قطعیت برای برخی پارامترها وجود دارد. نخستین منبع از تصادفی‌بودن پارامترها ناشی می‌شود که با سناریوهای آتی بیان می‌شود. دومین منبع از عدم‌قطعیت شناختی در پارامترهای هر سناریو ناشی می‌شود؛ به‌طوری‌که می‌توان آن‌ها را با یک توزیع امکانی مشخص کرد. عملکرد مدل پیشنهادی برحسب انحراف استاندار و هزینه با مدل‌های استوار دیگر مقایسه شد. نتایج نشان می‌دهد که مدل پیشنهادی قادر است با صرف یک هزینه پایین استواری مدل را بهبود بخشد.

کلیدواژه‌ها

عنوان مقاله [English]

Developing a Robust Fuzzy Programming Approach for Closed Loop Supply Chain Design

نویسندگان [English]

  • Mojtaba Farrokh 1
  • Adel Azar 2
  • Gholamreza Jandaghi 3
1 Ph.D Student, Farabi Campus, University of Tehran.
2 Professor, Tarbiat Modares University.
3 Professor, Farabi Campus, University of Tehran.
چکیده [English]

In recent decade, the increasing importance of economic benefits and environmental impacts of using scrapped products has encouraged
to focus on the CLSC design. This paper considers the problem of CLSC network design under hybrid uncertain conditions, under which exist two sources of uncertainty for some parameters, thus require a strengthening of the robustness of the decision. The first source is that some uncertain parameters may be based on future scenarios. The second is that the values of these parameters in each scenario are usually as imprecise and can be specified by possibilistic variables. The fixed cost of opening manufacturing centers is assumed to be non-linear and dependent upon the capacity. Possibility theory is applied to choose such solution in such a problem and a robust fuzzy stochastic programming (RFSP) approach is proposed. The performance of the proposed RFSP model is also compared with that of mean model in term of the variability and mean cost of model.

کلیدواژه‌ها [English]

  • Fuzzy Stochastic Programming
  • Robust Optimization
  • Non-Linear Model
  • Closed-Loop Supply Chain

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