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International Journal of Industrial Engineering and Productional Research-، جلد ۳۳، شماره ۲، صفحات ۱-۱۴
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عنوان انگلیسی A scenario analysis through fuzzy cognitive map modeling for sustainable development goals survival in the context of the COVID-19 pandemic: a case study of Iran
چکیده انگلیسی مقاله To respond to the urgent call for preventive action against COVID-19 pandemic implications for societies, this research is carried out. The main aim of our research is providing a new insight for the effects of the newly emerged restrictions by COVID-19 on the SD Goals (SDGs). This research applied a qualitative approach for supporting the SDGs achievement post-COVID in Iran, as a developing country in the Middle East, in two phases. In the first phase, using a fuzzy Delphi method, the SDGs affected by COVID-19 were identified. In the next phase, a fuzzy cognitive map, as a qualitative system dynamics modeling, was conducted to specify the key interconnections among the SDGs post COVID-19. Finally, three strategies including focus on people in vulnerable situation, support for industrial units and small and medium-sized enterprises, and national aggregation to Fight COVID-19 were examined. As a result, different scenarios associated with the three proposed strategies were tested based on the identified interconnections among the SDGs to reduce the potential negative effects of COVID-19 crisis on the achievement of the SDGs. The results provide a decision support for stakeholders and policy makers involved in SD action plan.
کلیدواژه‌های انگلیسی مقاله COVID-19,Sustainable Development goals,2030 Agenda for SD,fuzzy cognitive map,fuzzy Delphi method,scenario analysis
نویسندگان مقاله | Mariam Ameli
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran affiliation


| Somayeh Sadeghi
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-2352-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده سیستم های مدلسازی و شبیه سازی
نوع مقاله منتشر شده پژوهشی
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