طراحی مدل زنجیره تامین حلقه بسته پایدار با بررسی مالیات کربن و انتخاب فناوری در صنعت باتری

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، گروه مدیریت عملیات و فناوری اطلاعات، دانشکده مدیریت، دانشگاه خوارزمی، تهران، ایران.

چکیده

طی یک دهه گذشته نگرانی‌های زیست‌محیطی و انتظارات اجتماعی، تصمیم‌گیرندگان را مجبور کرده است تا زنجیره‌های تأمین خود را با درنظرگرفتن اثرات زیست‌محیطی و پاسخگویی و همچنین اهداف اقتصادی طراحی کنند. در پژوهش حاضر، یک مدل ریاضی عدد صحیح مختلط با بهینه‌سازی اهداف هزینه، تأثیرات زیست‌محیطی و پاسخگویی توسعه داده شده است تا در خصوص تصمیمات نرخ مالیات کربن، انتخاب نوع فناوری، مکان‌یابی و ظرفیت تسهیلات سیاست مناسبی اتخاذ شود. در این مدل هم‌زمان دو منبع ریسک اختلال و عملیاتی برای برخی پارامترها مثل تقاضا و هزینه‌ها وجود دارد که «عدم‌قطعیت ترکیبی» نامیده می‌شود. برای کنترل این نوع عدم‌­قطعیت، یک رویکرد برنامه‌ریزی تصادفی امکانی با استفاده از مفاهیم برنامه‌ریزی با محدودیت‌های اعتبار برای طراحی زنجیره تأمین حلقه­‌بسته پیشنهاد می‌شود. برای حل مدل چندهدفه از یک رویکرد برنامه‌ریزی فازی با کارایی بالا استفاده شده است. نتایج نشان می‌دهد که نرخ مالیات کربن در حدود 2000 تومان به­‌ازای هر کیلوگرم کربن عدد مناسبی است؛ همچنین برای بهبود سطح پاسخگویی، کاهش تأثیرات زیست‌محیطی و کاهش هزینه‌ها بهتر است از فناوری‌های سبز در مراکز تولید و بازیافت استفاده شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Designing a Sustainable Closed-Loop Supply Chain Considering Carbon Tax and Technology Selection in the Battery Industry

نویسنده [English]

  • Mojtaba Farrokh
Assistant Professor, Department of Operations Management and Information Technology, Faculty of Management, Kharazmi University, Tehran, Iran.
چکیده [English]

Over the past decade, growing environmental concerns and social legislations have forced decision makers to design their supply chains with regard to the environmental impacts, responsiveness, and economic benefits. In this research, a mixed integer linear programming (MILP)  model is developed to optimize the objectives of cost, environmental impacts and responsiveness in order to determine appropriate policies about the decisions of carbon tax, technology selection, location, capacity of facilities. In this model, there are simultaneously two types of disruption and operational risk for some parameters such as demand and costs, which is named hybrid uncertainty. To cope with this type of uncertainty, a possibilistic stochastic programming approach using concepts of credibility constraint programming is proposed to design a closed-loop supply chain. A high-performance flexible programming approach is applied to solve the multi-objective model. Results show that the appropriate rate of carbon tax is around 20000 Rial per kilogram of carbon. The results indicate that in order to optimize the level of responsiveness and reduce the environmental impacts and costs, it is better to use the green technologies in the plants and recycling centers and to establish the plant and distribution centers near the customer zones.

کلیدواژه‌ها [English]

  • Closed Loop Supply Chain
  • Carbon Tax
  • Green Technology
  • Possibilistic Stochastic Programming
  • Responsiveness

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