Volume 19, Issue 2 (4-2022)
jor 2022, 19(2): 23-37 |
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Peykani P, Gheidar-Kheljani J. Modeling Scenario-Based Robust Data Envelopment Analysis Approaches: An Application to Research and Development Projects. jor 2022; 19 (2) :23-37
URL: http://jamlu.liau.ac.ir/article-1-1978-en.html
URL: http://jamlu.liau.ac.ir/article-1-1978-en.html
Management and Industrial Engineering Department, Malek Ashtar University of Technology, Tehran, Iran. , kheljani@mut.ac.ir
Abstract: (1629 Views)
One of the most important challenges in applying data envelopment analysis (DEA) approach in real-world problems is how to deal with data uncertainty. Because the results of data envelopment analysis method are significantly sensitive to data changes. In other words, a little bias or deviation in the data may lead to a significant change in the performance results and ranking of decision-making units (DMUs). Therefore, it is necessary to develop a robust formulation for DEA approach in order to deal with uncertain data. Especially when data for different scenarios have different values. Accordingly, the purpose of the current study is to present a robust data envelopment analysis (RDEA) approach that can be implemented under scenario-based data. The proposed research approach is also used to performance evaluation and ranking of research and development (R&D) projects in Iran.
Keywords: Data Envelopment Analysis, Robust Optimization, Discrete Uncertainty, Research and Development Projects
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