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      • Open Access Article

        1 - A Value Efficiency-Based Target Setting Approach in Data Envelopment Analysis
        Nasim Nasrabadi
        Basic models of Data Envelopment Analysis are intrinsically preference-free, in the sense that they consider all inputs and outputs and also all decision making units of the same importance. Although this property is beneficial in many ways, it has some drawbacks simult More
        Basic models of Data Envelopment Analysis are intrinsically preference-free, in the sense that they consider all inputs and outputs and also all decision making units of the same importance. Although this property is beneficial in many ways, it has some drawbacks simultaneously, as the decision makers’ preferences are not taken into account in the process of evaluating units. To overcome this drawback many researchers have developed several techniques for incorporating the preferences into the evaluation model. One of the underlying approaches is value efficiency analysis, which evaluates decision making units by comparing them with the most preferred unit. The most preferred unit is a unit which satisfies the decision maker most. On the other hand, the issue of benchmarking is an important aspect in data envelopment analysis, as it enables the analyst to choose a target for each inefficient unit. The target unit for each unit is located on the efficient frontier and determines the path of improvement for that inefficient unit. In this paper, the issue of target setting based on the concept of value efficiency is investigated. We aim to develop a target setting model which is able to determine target units that are not only efficient but also value efficient, as well. Moreover, the targets are determined based on closest distance from the evaluated unit. Some properties of the model are also discussed. Finally, we perform the proposed model on a real data set of 42 Spanish Universities. Manuscript profile
      • Open Access Article

        2 - Finding Closest Target in Network DEA
        Morteza Aramesh Sevan Sohraiee
        As an important concept in data envelopment analysis (DEA), closest target has wide theoretical and practical applications. By considering the data of closest target and utilizing it appropriately, the decision making unit (DMU) under evaluation determines how to transf More
        As an important concept in data envelopment analysis (DEA), closest target has wide theoretical and practical applications. By considering the data of closest target and utilizing it appropriately, the decision making unit (DMU) under evaluation determines how to transform its inputs and outputs to become efficient. Also, traditional DEA models only utilize the external inputs to produce the final outputs in evaluating the relative efficiency of decision making units (DMUs), and internal operations are not be considered. Therefore, traditional models can not accurately determine the source of inefficiency inside the structures. To overcome this problem, different authors proposed various network DEA models (NDEA). This paper is an attempt to find the closest target in various scenarios of network DEA. The study concerns about different existed scenarios in network DEA models and proposes specific models to find closest targets in each scenario. Also, an empirical example has been presented to illustrate the proposed models. Manuscript profile
      • Open Access Article

        3 - Complete Closest-Target Based Directional FDH Measures of Efficiency in DEA
        Mahmood Mehdiloozad Israfil Roshdi