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

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 …

We develop an input-oriented super-efficiency measure in stochastic data envelopment
analysis. A deterministic equivalent of the stochastic super-efficiency model is given. It is …

Varieties of data envelopment analysis (DEA) models have been formulated to assess
performance of decision making units (DMUs) in various fields with different data such as …

Sensitivity and stability for Banker's model of Stochastic Data Envelopment Analysis (SDEA)
is studied in this paper. In the case of the DEA model, necessary and sufficient conditions to …

The efficiency scores of the decision making units (DMUs) in conventional data envelopment
analysis (DEA) are between zero and one and generally several DMUs result in having …

This paper addresses super-efficiency issue based on input relaxation model in stochastic
data envelopment analysis. The proposed model is not limited to using the input amounts of …

This article developed an approached model of congestion, based on relaxed combination
of inputs, in stochastic data envelopment analysis (SDEA) with chance constrained …

This paper deals with evaluating congestion in free disposal hull (FDH) models. There are
several approaches in data envelopment analysis (DEA) literatures which discuss the theory …

The concept of congestion, which is mainly applied in economics, refers to a situation where
inputs are overinvested. Many studies have focused on congestion measurement by means …