دانلود مقاله ISI انگلیسی شماره 82567
ترجمه فارسی عنوان مقاله

حل مسئله مکان یابی چند منظوره با استفاده از فرآیند سلسله مراتبی تحلیلی فازی و برنامه ریزی هدف: یک مطالعه موردی در مراکز دفع زباله های عفونی

عنوان انگلیسی
Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
82567 2017 22 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Operations Research Perspectives, Volume 4, 2017, Pages 39-48

ترجمه کلمات کلیدی
مسئله محل تسهیل چندین هدف، فرآیند سلسله مراتب تحلیلی فازی، مراکز دفع زباله های عفونی،
کلمات کلیدی انگلیسی
Multi-objective facility location problem; Fuzzy analytic hierarchy process; Infectious waste disposal centers;
پیش نمایش مقاله
پیش نمایش مقاله  حل مسئله مکان یابی چند منظوره با استفاده از فرآیند سلسله مراتبی تحلیلی فازی و برنامه ریزی هدف: یک مطالعه موردی در مراکز دفع زباله های عفونی

چکیده انگلیسی

The selection of a suitable location for infectious waste disposal is one of the major problems in waste management. Determining the location of infectious waste disposal centers is a difficult and complex process because it requires combining social and environmental factors that are hard to interpret, and cost factors that require the allocation of resources. Additionally, it depends on several regulations. Based on the actual conditions of a case study, forty hospitals and three candidate municipalities in the sub-Northeast region of Thailand, we considered multiple factors such as infrastructure, geological and social & environmental factors, calculating global priority weights using the fuzzy analytical hierarchy process (FAHP). After that, a new multi-objective facility location problem model which combines FAHP and goal programming (GP), namely the FAHP-GP model, was tested. The proposed model can lead to selecting new suitable locations for infectious waste disposal by considering both total cost and final priority weight objectives. The novelty of the proposed model is the simultaneous combination of relevant factors that are difficult to interpret and cost factors, which require the allocation of resources.