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Latest bibliography of DEA with more than 10,000 articles
Mergoni, A. A. Emrouznejad, and K. De Witte (2025) Fifty years of Data Envelopment Analysis, European Journal of Operational Research, 326 (3): 389-412. https://doi.org/10.1016/j.ejor.2024.12.049.
CLICK HERE to download review of Fifty years of Data Envelopment Analysis
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Zhu J (2001). “Super-Efficiency and DEA Sensitivity Analysis.” EJOR 129(2): 443-455.
- Zhongtuo W (1999). “A Computer-Based Production Modeling, Simulation and Optimization System for Petro-Refinery.? in Proceedings of Third International Conference. Industrial Automation, Int. Assoc. Ind. Autom: 15-11.
- Zhou P, BW Ang and KL Poh (2006). “Slacks-Based Efficiency Measures for Modeling Environmental Performance.” Ecological Economics 60(1): 111-118.
- Zhou P, KL Poh and BW Ang (2007). “A Non-Radial DEA Approach to Measuring Environmental Performance.” EJOR 178(1): 1-9.
- Zhou S and R Chen (2001). “A Customer-Oriented Decision Model for Selecting Cooperation Partners in the Supply Chain.” Journal Huazhong – Central China -University of Science and Technology 29(5): 38-40.
- Zhou Y and Y Chen (2003). ?DEA-Based Performance Predictive Design of Complex Dynamic System-Business Process Improvement.? in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, IEEE Inc. 3: 3008-3013.
- Zhou Y and Y Chen (2003). “The Methodology for Business Process Optimized Design.? in Proceedings of Iecon (Industrial Electronics Conference), Institute of Electrical and Electronics Engineers Computer Society. 2: 1819-1824.
- Zhu J (1988). ?DEA/AR Analysis.” Ann Oper Res 6: 311-335.
- Zheng Y and YQ Zhou (2005). “Measures of the Fishing Capacity of Chinese Marine Fleets and Discussion of the Methods.” J Oceanography 61(3): 623-630.
- Zheng Z, B Padmanabhan and H Zheng (2004). “A DEA Approach for Model Combination.? in Proceedings of the Tenth International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, US: 755-760.
