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 ...

data envelopment analysis (dea) is a method used for measuring the efficiency of decision-making units‎. unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...

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...

introduction: we investigated the characteristic of a suitable irradiation on skin's tensional strength using design of experiments (doe). the experiments in this research are designed in two phases and data envelopment analysis (dea) is used for performance measurement of each phase. material and methods: samples were provided from pleura as surface tissue made of collagen and elastin fib...