A procedure for ranking efficient units in data envelopment analysis
Management Science
Incentive efficient production frontiers: an agency perspective on DEA
Management Science
A Complete Efficiency Ranking of Decision Making Units in Data Envelopment Analysis
Computational Optimization and Applications
Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models
Management Science
A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA
Journal of Computational and Applied Mathematics
Expert Systems with Applications: An International Journal
An input relaxation measure of efficiency in fuzzy data envelopment analysis (FDEA)
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Centralized resource allocation with stochastic data
Journal of Computational and Applied Mathematics
| Hi-index | 7.29 |
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 evaluating DMU, and one can obtain a total ordering of units by using this method. The input relaxation super-efficiency model is developed in stochastic data envelopment analysis, and its deterministic equivalent, also, is derived which is a nonlinear program. Moreover, it is shown that the deterministic equivalent of the stochastic super-efficiency model can be converted to a quadratic program. As an empirical example, the proposed method is applied to the data of textile industry of China to rank efficient units. Finally, when allowable limits of data variations for evaluating DMU are permitted, the sensitivity analysis of the proposed model is discussed.