this paper proposes a suitable benchmark for inefficient commercial bank branches by using data envelopment analysis (dea). in order to render an inefficient bank branch efficient, it is necessary to decrease inputs and increase outputs. as there are priorities for decreasing some certain inputs and increasing some certain outputs over other inputs and outputs, respectively, it is necessary to ...

‎in this paper, we present a two-stage model for ranking of decision making units (dmus) using interval analytic hierarchy process (ahp). since the efficiency score of unity is assigned to the efficient units, we evaluate the efficiency of each dmu by basic dea models and calculate the weights of the criteria using proposed model. in the first stage, the proposed model evaluates decision making...

in the present study, an attempt has been made to use data envelopment analysis (dea) for assessing the technical efficiency and return-to-scale for greenhouse cucumber production in iran. for this purpose, the data from greenhouses in esfahan province, during one period of plant cultivation in one year including spring plants were randomly collected. the results indicated that total input ener...

background: one way to improve the performance of hospitals, the largest resource-consuming units in the healthcare sector, is to continuously evaluate their performance.objective: the current study assessed the performance of hospitals affiliated with the kurdistan university of medical sciences using data envelopment analysis (dea).methods: this retrospective descriptive-analytic study used d...

background: nowadays, healthcare systems are considered as important service sectors, and they are social development and welfare standards; hence the performance of this sector is highly important. evaluating performance is the first step of various departments to determine the efficiency of the healthcare system. in the meantime, diagnostic laboratories of hospitals play important roles as sp...

Super-efficiency model in the presence of negative data is a relatively neglected issue in the DEA field. The existing super-efficiency models have some shortcomings in practice. In this paper, a novel VRS radial super-efficiency DEA model based on Directional Distance Function (DDF) is proposed to provide a complete ranking order of units (including efficient and inefficient ones). The propose...

Data Envelopment Analysis (DEA) is a nonparametric approach for measuring the relative efficiency of a decision making units consists of multiple inputs and outputs. In all standard DEA models semi positive real valued measures are assumed, while in some real cases inputs and outputs may take complex valued. The question is related to measuring efficiency in such cases. As far as we are aware, ...

data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...

background improving efficiency of health sector is of particular importance in all countries. to reach this end, it is paramount to measure the efficiency. on the other hand, there are many factors that affect the efficiency of health systems. this study aimed to measure the technical efficiency (te) of health systems in economic cooperation organization (eco) countries during 2004–10 and to d...