مشخصات پژوهش

عنوان	A DEA model with Dual-Role Factors and Fuzzy Data for Selecting Third-Party Reverse Logistics Provider, Case Study: Hospital Waste Collection
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	reverse logistics, outsourcing, third-party logistics provider, data envelopment analysis, dual role factors, inaccurate data, α-cut
چکیده	Today, most institutions and companies delegate reverse logistics services, organizational communication, and outsourcing company to a third-party logistics reverse provider. To select an appropriate third-party logistics provider, this study proposes a decision-making procedure considering dual role data and fuzzy states based on data envelopment analysis models. After determining evaluation indices, this study uses the α-cut approach to transform the proposed model under uncertainty to a deterministic model. Finally, a case study (collection and burial of hospital waste) is presented to show the application of this research. Results of selecting the best third-party logistics provider and more analyses are provided after coding in GAMS software.
پژوهشگران	سعید رستگار (نفر دوم)، علیرضا عیدی (نفر اول)