نتایج جستجو برای: nonhomogeneous dmus
تعداد نتایج: 3428 فیلتر نتایج به سال:
Nowadays, concerns about environmental issues are increasing. Therefore, companies and producers under pressure from government rules regulations on one hand, the other maintaining customer satisfaction concerning cares environment. Green supply chain management (GSCM) is a procedure to increase efficiency decrease effects for that collaborate with customers suppliers. According GSCM, there som...
The proposed bi-objective fuzzy data envelopment analysis (BOFDEA) model is a new approach to assess the performance efficiency of decision-making units (DMUs) in uncertain environments using α-cuts. based on (FDEA) and considers two objectives, solution method ranking system are provided. Generally, score obtained for DMU α-cut an interval. Intervals partially ordered sets, due which intervals...
China’s urbanization over the past thirty years has been fastest in history and led to significant challenges balancing energy use. As a result, this study proposed comprehensive green assessment index system considering use environment protection together. To be specific, principal component analysis was applied eliminate redundant information, slacks-based measure model used evaluate efficien...
This paper introduces a new robust data envelopment analysis (RDEA) approach for analyzing and ranking the organizations’ operations strategies. In the proposed RDEA method, pessimistic and optimistic efficiencies of decision making units (DMUs) obtained from the robust counterpart of the envelopment form and the optimistic counterpart of the multiplier form of DEA are introduced. The inputs an...
This paper develops a new radial super-efficiency data envelopment analysis (DEA) model, which allows input-output variables to take both negative and positive values. Compared with existing DEA models capable of dealing with negative data, the proposed model can rank the efficient DMUs and is feasible no matter whether the input-output data are nonnegative or not. It successfully addresses the...
Data envelopment analysis (DEA), based on mathematical programming techniques, is a popular method for assessing the relative efficiency of various decision-making units (DMUs). Efficient DEA computations need to circumvent intensive time-consuming calculations. This paper indicates that the “corner points” in single input and single output scatter plot has extreme efficiency with regard to the...
Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering t...
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