In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

The data envelopment analysis (DEA) technique is used to identify the strengths and
weaknesses of a set of decision-maker units. In this technique for each decisionmaking unit …

The closest target-setting models based on data envelopment analysis (DEA) provide
substantial contributions to benchmarking for requiring minimal effort to improve the …

The main goal of this study was to address the sensitivity analysis fora specific efficient
decision-making unit (DMU), which is under evaluation, by the variable returns to scale …

Finding efficiency regions (ERs) for extremely efficient decision-making units (DMUs) is one
of the important issues from the managerial and economic viewpoints. An extremely efficient …

In this paper, we consider one of the most critical problems for setting up a data
envelopment analysis model: the identification of suitable returns to scale (RTS) for the data …

Organizations may have two strategies in DEA, DEA-R. to find suitable targets for DMUs. In
the first strategy, efficient, inefficient units are separated using the efficiency scale of …

One of the main important issues in Data Envelopment Analysis (DEA) is to recognize the
set of anchor points which is the subset of the extreme efficient points of the production …

The traditional data envelopment analysis (DEA) models can be used for efficiency
evaluation of decision making units (DMUs) with nonnegative data. However, in the real …

Data envelopment analysis (DEA) was proposed in a highly influential paper by Charnes et
al.(J Oper Res 2: 429–444, 1978), who developed the Farrell seminal research (JR Stat Soc …