Data Envelopment Analysis (DEA) is an approach based on linear programming to assess the relative efficiency of peer Decision Making Units (DMUs). Typically, each DMU is free to choose the weights of the factors used in its evaluation. However, the evaluator’s preferences may not warrant so much freedom. Several approaches have been proposed to allow the incorporation of managerial preferences ...

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of a set of decision making units (DMUs), such as companies or public sector agencies. The main DEA models are only used for positive data. In recent years, some models have been presented to deal with negative data in DEA models. However, these models do not discriminate between efficient DMUs and only eval...

Supplier selection problem (SSP) is a problem to select the best among suppliers based on input and output data of the suppliers. Since different uncontrollable and unpredictable parameters are affecting selection, choosing the best supplier is a complicated process. Data Envelopment Analysis (DEA) is a method for measuring efficiency and inefficiencies of Decision Making Units (DMUs). While, t...

This study evaluates operation performances of 67 international tourist hotels in Taiwan by using the Context-dependent DEA model of Date Envelopment Analysis (DEA) in order to find out the performance of these hotels and their competitive advantages. This study differentiates the levels of efficient frontier with the efficiency of each international tourist hotel. Based on the efficiency, the ...

Estudou-se a interação de atrazina (AT), propazina (PROP), desetil-atrazina (DEA), deisopropilatrazina (DIA) e hidroxi-atrazina (HAT) com o argilomineral vermiculita saturado com K (VTK) e com VTK modificada pela incorporação de hexadeciltrimetil-amônio (HDTMA-VT) no espaço interlamelar. A VTK bruta teve interação desprezível com AT, PROP e DEA, interação moderada com DIA e forte interação com ...

In this paper, we conduct simulation experiments to evaluate the performance of two alternative uses of the superefficiency procedure in Data Envelopment Analysis (DEA). The first is for outlier identification and the second is for ranking efficient units. We find that the ranking procedure does not perform satisfactorily. In fact, the correlations between the true efficiency and the estimated ...

The evaluation of productivity of educational units during the last decades has become an important priority for many countries. A current approach considers the schools as production units that use multiple inputs and produce multiple outputs. Data Envelopment Analysis (DEA) is a very effective methodology for the estimation of relative efficiencies in the presence of multiple inputs and outpu...

Data envelopment analysis (DEA) is a non-parametric approach to evaluate a set of decision making units (DMUs) consuming multiple inputs to produce multiple outputs. Formally, DEA use to estimate the efficiency score into the empirical efficient frontier. Also, DEA can be used to allocate resources and set targets for future forecast. The data are continuous in the standard DEA model whereas th...

Some indexes are necessary for performance evaluation of a management system. Balanced scorecard (BSC) is used in order to extraction of these indexes for evaluating the necessary performances in the evaluation process. Utilization of BSC causes to prevent in increasing information and data. Furthermore, all of the important indexes are considered in evaluation performance.Data envelopment anal...

In data envelopment analysis (DEA), performance evaluation is generally assumed to be based upon a set of quantitative data. In many real world settings, however, it is essential to take into account the presence of qualitative factors when evaluating the performance of decision making units (DMUs). Very often rankings are provided from best to worst relative to particular attributes. Such rank...