evaluation of performance and productivity is among the fundamental concepts inmanagement. in order to achieve their goals, organizations must evaluate theirperformance. one of the important stages of performance appraisal is evaluation oforganization’s efficiency. banks, financial and credit institutions are among the mostimportant organizations of every economic system, because every activity...

data envelopment analysis (dea) is a non-parametric method for evaluating the relative technical efficiency for each member of a set of peer decision making units (dmus) with multiple inputs and multiple outputs. the original dea models use positive input and output variables that are measured on a ratio scale, but these models do not apply to the variables in which interval scale data can appe...

the aim of this paper is to analyze total factor productivity (tfp) growth and its components in asian countries applying stochastic frontier analysis (sfa) to the time series data of 44 asian countries from 2000 to 2010. using battese and coelli approach, tfp is divided into technical efficiency change and technical change. tfp decomposition using sfa method for the years 1998 to 2007 indicate...

in this paper, exergy of conditioned air, exergy efficiency, irreversibility, and entropy generation of common models of evaporative cooling have been investigated in five cities of iran. direct evaporative cooling (dec), indirect evaporative cooling (iec), and two-stage iec/dec as the most popular methods of cooling have been modeled. atmospheric conditions are considered as the dead state of ...

data envelopment analysis (dea) is a mathematical technique to evaluate the performance of firms with multiple inputs and outputs. in conventional dea models, the efficiency scores of decision making units (dmus) with non-negative inputs and outputs are evaluated in a special period of time. however, in the real world there are situations wherein performance of firms must be evaluated in multip...

resource allocation and optimal leveling are among the top challenges in project management. this paper presents a dea-based procedure for determining an optimal level of inputs to produce a fixed level of outputs. to achieve this goal, we assume that the levels of outputs can be forecasted in the next season and the procedure will determine optimal level of inputs for all dmus. such as some of...

data envelopment analysis (dea) was developed to help compare the relative performance of decision-making units. it is a non-parametric method for performing frontier analysis. it uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics [3]. dea generates an efficiency score between 0 and 1 for each unit...

data envelopment analysis (dea) as a non-parametric method for efficiency measurement allows decision making units (dmus) to select the most advantageous weight factors in order to maximize their efficiency scores.  in most practical applications of dea presented in the literature, the presented models assume that all inputs are fully desirable. however, in many real situations undesirable inpu...

background: during the last decades, the number of dentistry units increased significantly across the country. the aim of this study was to assess the efficiency of dental units of iran provinces regarding dental health inputs and outputs using data envelopment analysis approach. methods: in this applied descriptive-analytical study, the study population included all of iran 31 provinces. the o...

Examining the impacts of data modification is considered as sensitivity analysis. A lot of studies have considered the data modification of inputs and outputs in DEA. The issues which has not heretofore been considered in DEA sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of DMUs. This pa...