Our aim in this work is to determine returns to scale (RTS) under weights restrictions in data envelopment analysis (DEA). At first, we review Tone,s method (2001) proposed in this field, then by using a slack-based model, we introduce a new method that enables us to reach our aim. The advantage of the method proposed in this article over Tone,s method is that for determining returns to scale, ...

This paper proposes a new resource allocation mode based on DEA models and elasticity analysis for a certain kind of resource allocation problems. It takes into account both the relative efficiency and the returns-to-scale of the decision making units. The decision maker can adopt it to comprehensively evaluate the departments’ production capacity and their potential production capacity. At las...

The aim of this study was to assess the relative efficiency of the Iranian forest management plans using the non-parametric method – Data Envelopment Analysis (DEA) as a well-known and robust technique for measuring the relative efficiency of organizations. The relative efficiency of forest management plans was calculated using the most frequency DEA models such as global technical efficiency (...

Data envelopment analysis (DEA) is non-parametric linear programming (LP) based technique for estimating the relative efficiency of different decision making units (DMUs) assessing the homogeneous type of multiple-inputs and multiple-outputs. The procedure does not require a priori knowledge of weights, while the main concern of this non-parametric technique is to estimate the optimal weights o...

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 aims of this study were to evaluate the energy consumption and its modeling in industrial milk production units using data envelopment analysis (DEA) approach and sensitivity analysis. Data were collected from 44 industrial milk production units in Guilan province of Iran with face to face questionnaire method during 2012-2013. Inputs included animal feed, fossil fuels, electricity, machine...

the aim of this study was to assess the relative efficiency of the iranian forest management plans using the non-parametric method – data envelopment analysis (dea) as a well-known and robust technique for measuring the relative efficiency of organizations. the relative efficiency of forest management plans was calculated using the most frequency dea models such as global technical efficiency (...

The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-DEA) in commercial banking with emphasis on testing robustness. To this end, sixteen foreign banks in China are benchmarked against thirty-two domestic banks for the post-2007 period that follows major reforms. When network and dynamic dimensions are brought together, a more comprehensive analysis...