Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial and non-radial DEA, the latter has higher discriminatory power than former. The range adjusted measure (RAM) is an effective widely used approach. However, to best of our knowledge, there no literature on integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first...

In the existing DEA models, we have a centralized decision maker (DM) who supervises all the operating units. In this paper, we solve a problem in which the centralized DM encounters limited or constant resources for total inputs or total outputs. We establish a DEA target model that solves and deals with such a situation. In our model, we consider the decrease of total input consumption and th...

in many european states such as spain and italy there has been a significant growth of organic utilizable surface as a consequence of both a change in the model of agricultural production and also in order to satisfy arising demand of organic food. the purpose of this research was to investigate the level of technical, allocative and economic efficiency in italian olive farms with two different...

in this paper, it is assumed that the “decision making units“( ) are consist of positive and negative input and output. firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. these productive values are compared with double frontiers and hurwicz’s criterion to obt...

strategic alliance promotes enterprise resources sharing and enhances the competitiveness of the marketplace. therefore, finding a mutually beneficial partner to make a strategic alliance is an important issue for various industries. the aim of this paper is to propose a suitable method based on grey theory and data envelopment analysis (dea). a method predicts future business and measure opera...

this paper applied a non-parametric (data envelopment analysis) method to analyze the efficiency of farmers, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy in order to optimize the energy inputs for greenhouse cucumber production in lorestan province of iran. data were collected from 27 cucumber producers by using a face-to-face questionnaire.dea cr...

this study uses the data envelopment analysis (dea) to assess the progress/regression of decision-making units (dmus) having a two-stage structure‎. ‎the progress/regression of these dmu can be assessed in the first stage‎, ‎the second stage‎, ‎and the whole system‎. ‎in the first stage‎, ‎the progress/regression of bank branches in collecting resources and in the second stage their progress/re...

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...