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 transport industry is one of the main contributors to environmental pollution. Sustainable
supply chain management (SSCM) is an essential subject in the transportation industry …

In conventional data envelopment analysis (DEA) models, data are usually considered as
continuous measures while the role of measures from input and/or output aspects is known …

Abstract Standard Data Envelopment Analysis (DEA) models consider continuous-valued
and known input and output statuses for measures. This paper proposes an extended …

This study contributes to research on the total factor operational efficiency of the
semiconductor company considering corporate social responsibility (CSR) by proposing a …

Abstract Conventional Inverse Data Envelopment Analysis (Inverse DEA) models examine
the changes of real-valued inputs (respectively, outputs) of DMUs for the perturbation of real …

In conventional data envelopment analysis (DEA) models, the efficiency of decision making
units (DMUs) is evaluated while data are precise and continuous. Nevertheless, there are …

Purpose The purpose of this paper is to propose the data envelopment analysis (DEA)
model that can be used as binary-valued data. Often the basic DEA models were developed …

Abstract Khezrimotlagh et al.(2013) pointed out the Kuosmanen and Kazemi Matin's model
(hereafter referred to as, the KKM model) may not be stronger than the Lozano and Villa's …

Conventional data envelopment analysis (DEA) models assume that all values of input and
output variables are non-integers. However, in many situations of real life DEA application …