one of the biggest problems of using data envelopment analysis for the evaluation of performance is the weakness of the separability for the decision maker units. this problem is generalizable because of the lower quantity of units in comparison with the ¬input and output quantities of the model [1]. this matter considerably reveals itself in the evaluation process of 23 provincial gas companie...

Data envelopment analysis (DEA) is a nonstochastic and nonparametric linear programming technique where a set of units are evaluated according to their input consumption and output production (Charnes et al. (1978)). Given that DEA efficiency analysis can be influenced by the presence of outliers, Banker and Chang (2006) proposed a method to detect atypical units through the super-efficiency mo...

the cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. one of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. we are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

data envelopment analysis (dea) has been long employed as a popular methodology to evaluate the performance of various production activities with multiple inputs and outputs. however, an important issue is that the production process in the real world inevitably generates undesirable outputs (like wastes and pollutants) along with desirable outputs. therefore, the undesirable outputs should be ...

in conventional dea models, decision making units (dmus) are generally assumed as a black-box while the performance of decision making sub-units (dmsus) and their importance play crucial roles in  analyzing the performance of systems which have internal processes. the present paper introduces an ideal network which have efficient processes and next purposes a new approach for evaluating importa...

background: assessment of hospitals’ performance in achieving its goals is a basic necessity. measuring the efficiency of hospitals in order to boost resource productivity in healthcare organizations is extremely important. the aim of this study was to measure technical efficiency and determining status of resource allocation in some university hospitals, in tehran, iran.   methods : this study...

one of the important issues in data envelopment analysis (dea) is sensitivity analysis. heretofore the existent studies have considered the data modification of inputs and outputs in one or multiple dmus. in this paper the number of dmus is increased and a stability region is obtained in  by applying defining hyperplanes in which if the added dmu (only one dmu) is in this region then all of the...

The paper is devoted to the problem of generating artificial datasets for data envelopment analysis (DEA), which can be used testing DEA models and methods. In particular, papers that applied big often synthetic generation obtain large-scale because real large size, available in public domain, are extremely rare. This proposes algorithm takes as input some dataset complements it by efficient in...