this study aimed to measure the hospital productivity using data envelopment analysis (dea) technique and malmquist indices.this is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. the research was implemented in 12 teaching and non-teaching hospitals of ahvaz county. data envelopment analysis technique and the malmquist indices with an input-orien...

energy, due to its increasing usage in various broad areas has been maintained as a vital factor in economic growth and development of societies. meanwhile, natural gas is considered as one of the most important energy sources. therefore, the efficiency and the productivity of the gas companies are crucial to be assessed. numerous examples from industrial multistage processes including internal...

system designs, optimizing resource allocation to organization units, is still being considered as a complicated problem especially when there are multiple inputs and outputs related to a unit. the algorithm presented here will divide the frontiers obtained with dea. in this way, we investigate a new approach for resource allocation.

the stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. this paper presents a methodology based on data envelopment analysis for portfolio selection, decision making units which can be stocks or other financial assets. first, dmus efficiencies are computed based on input/output com...

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the problem of utilizing undesirable (bad) outputs in dea models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. the kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. also, there are some specific features of non-radial data envelopment analysis (dea...

one of the difficulties of data envelopment analysis(dea) is the problem of deciency discriminationamong efficient decision making units(dmus) and hence, yielding large number of dmus as efficientones. the main purpose of this paper is to overcome this inability. one of the methods for rankingefficient dmus is minimizing the coefficient of variation (cv) for inputs-outputs weights. in this pap...

in this paper, by investigating the common weights concept and dea models with nonlinear virtual inputs/outputs, we introduce a model for evaluating the decision making units with nonlinear virtual inputs and outputs based on the common weights.

performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...