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 study employs metafrontier and four-stage data envelopment analysis (DEA) to
measure the overall and individual efficiency of life insurance companies in mainland China …

This paper provides a new structure in data envelopment analysis (DEA) for assessing the
performance of decision making units (DMUs). It proposes a technique to estimate the DEA …

The mixed integer linear programming (MILP) models are proposed to estimate the
performance of decision making units (DMUs) including both integer and real values in data …

This study illustrates the nonlinear Arash Model (AM) in Data Envelopment Analysis (DEA)
to distinguish between technical efficient DMUs and arrange both technical efficient and …

One of the concerns about using non-parametric estimators such as Data Envelopment
Analysis (DEA), is the presence of outliers. There are a good number of studies that mention …

ABSTRACT Data Envelopment Analysis (DEA) is a non-parametric approach to operations
research for assessing the relative efficiencies of a set of peer units, called Decision Making …

The uncontrollable data such as environmental variables are a kind of data which cannot be
controlled by managers or users, but they may affect in assessing the performance …

Airport efficiency with data envelopment analysis (DEA) is one of the common research
studies in the last decade. DEA is a nonparametric method in operations research which has …

Arash Method (AM) is a new technique in Data Envelopment Analysis (DEA), which
estimates the performance of Decision Making Units (DMUs) with flexible linear …