Exchange-Based Industry Selection for Eco-Industrial Parks: A Mixed-Integer Programming Mathematical Model | ||
| Advances in Industrial Engineering | ||
| دوره 60، شماره 1، شهریور 2026، صفحه 239-254 اصل مقاله (1.07 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/aie.2025.398445.1949 | ||
| نویسندگان | ||
| Yasaman Fallahpour1؛ Emad Roghanian* 2؛ Donya Rahmani3 | ||
| 1Ph.D. Candidate, Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. | ||
| 2Professor, Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. | ||
| 3Associate Professor, Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran. | ||
| چکیده | ||
| The optimal use of natural resources and energy has become an important issue and has been given attention worldwide due to the increase in population and environmental pollution. In recent years, Eco-industrial parks (EIPs) have gained popularity as a way to make better use of natural resources. In these parks, companies try to cooperate with each other by exchanging materials and energy and pay more attention to environmental issues. Unlike previous models proposed in this field, which were based on existing EIPs and were presented for improvement, we present a new model for creating these parks. In this study, we propose a mixed integer programming (MIP) model, considering real and feasible exchanges, which, taking into account sustainability conditions (economic, social, and environmental), selects industries to establish the park so that the value of exchanges is maximized and the costs of infrastructure construction are minimized. The results show that the selected set of industries leads to economic benefits, where the total value of exchanges exceeds the costs of infrastructure, thus supporting profitability and sustainability. | ||
| کلیدواژهها | ||
| Eco-Industrial Park؛ Industrial Symbiosis؛ Sustainability؛ Mixed integer programming؛ Circular economy | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 193 تعداد دریافت فایل اصل مقاله: 41 |
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