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International Journal of Engineering، جلد ۳۵، شماره ۲، صفحات ۳۶۰-۳۷۱
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عنوان انگلیسی A Neutrosophic Fuzzy Programming Method to Solve a Multi-depot Vehicle Routing Model under Uncertainty during the COVID-19 Pandemic
چکیده انگلیسی مقاله The worldwide prevalence of coronavirus disease (COVID-19) and the severe problems in the distribution of medical equipment have led to the modeling of multi-depot vehicle routing under uncertainty in the COVID-19 pandemic. The primary purpose of the proposed model is to locate warehouses and production centers and route vehicles for the distribution of medical goods to hospitals. A robust fuzzy method controls uncertain parameters, such as demand, transmission, and distribution costs. The effect of uncertainty using a neutrosophic fuzzy programming method shows that by increasing demand, the volume of medical goods exchanges and the number of vehicles used to distribute goods increase. This leads to an increase in the total cost of the problem and the amount of greenhouse gas (GHG) emissions. The results also show that using more vehicles reduces staff fatigue to distribute medical products and reduces the prevalence of the COVID-19 pandemic. In the most important sensitivity analysis of the problem on the capacity of the vehicle, it was determined that by increasing the capacity of the vehicle, fewer vehicles are used, and as a result, the cost and amount of greenhouse gas emissions are reduced. On the other hand, this has led to a decrease in the prevalence of the COVID-19 virus.
کلیدواژه‌های انگلیسی مقاله COVID-19 pandemic,Multi-depot vehicle routing,Neutrosophic fuzzy programming,Robust fuzzy method
نویسندگان مقاله H. Nozari |
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

R. Tavakkoli-Moghaddam |
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

J. Gharemani-Nahr |
Faculty Member of Academic Center for Education, Culture and Research, Tabriz, Iran

نشانی اینترنتی https://www.ije.ir/article_139151_850530c035150614c980b1d025aa5ba5.pdf
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