A new chance-constrained DEA model with birandom input and output data

A new chance-constrained DEA model with birandom input and output data

0.00 Avg rating0 Votes
Article ID: iaor201525331
Volume: 65
Issue: 12
Start Page Number: 1824
End Page Number: 1839
Publication Date: Dec 2014
Journal: Journal of the Operational Research Society
Authors: , ,
Keywords: programming: nonlinear
Abstract:

The purpose of conventional Data Envelopment Analysis (DEA) is to evaluate the performance of a set of firms or Decision‐Making Units using deterministic input and output data. However, the input and output data in the real‐life performance evaluation problems are often stochastic. The stochastic input and output data in DEA can be represented with random variables. Several methods have been proposed to deal with the random input and output data in DEA. In this paper, we propose a new chance‐constrained DEA model with birandom input and output data. A super‐efficiency model with birandom constraints is formulated and a non‐linear deterministic equivalent model is obtained to solve the super‐efficiency model. The non‐linear model is converted into a model with quadratic constraints to solve the non‐linear deterministic model. Furthermore, a sensitivity analysis is performed to assess the robustness of the proposed super‐efficiency model. Finally, two numerical examples are presented to demonstrate the applicability of the proposed chance‐constrained DEA model and sensitivity analysis.

Reviews

Required fields are marked *. Your email address will not be published.