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 …

Data envelopment analysis (DEA) is a mathematical programming technique which has a
wide application area. There are many applications of DEA to measure firms' performance …

Data envelopment analysis (DEA) is a body of research methodologies to evaluate overall
efficiencies and identify the sources and estimate the amounts of inefficiencies in inputs and …

To save energy and improve the environment has become a general consensus in the
whole Asia-Pacific Economic Cooperation region. This study focuses on the issue of energy …

With an increasing attention on the environment, one of the major research thrusts in Data
Envelopment Analysis (DEA) based performance evaluation is the undesirable output in the …

We introduce stochastic version of an input relaxation model in data envelopment analysis
(DEA). The input relaxation model, recently developed in DEA, is useful to resource …

This article estimates most productive scale size in stochastic data envelopment analysis
(DEA). Jahanshahloo and Khodabakhshi [Jahanshahloo, GR and Khodabakhshi, M., Using …

In this paper, the concept of chance constrained programming approaches is used to
develop output oriented super-efficiency model in stochastic data envelopment analysis …

The main objective of this research is to measure the efficiency of 397 major industrial
enterprises in Sichuan province of China in 2013. To this end, we employed DEA super …

Congestion is an economic phenomenon in the production process where excessive
amounts of the input cause a reduction of the output. The motivation of this paper is to …