DEA is a novel approach to relative efficiency measurement where there are multiple incommensurate inputs and outputs. If a suitable set of measures can be defined DEA provides an efficiency measure not relying on the application of a common weighting of the inputs and outputs. Additionally the method identifies peer units and targets for inefficient units. A number of issues arising from the application of DEA have also been addressed. A full bibliography of DEA including applications has been compiled by Seiford(8).
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DownloadMergoni, 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.
DEA Workshop: Efficiency and Productivity Assessment in Higher Education and Public Services: DEA, Machine Learning, and AI, April 16-17, 2026, Aston University, UK
DEA Course (CLICK HERE)Dates:
Friday, June 12, 2026 – 10.00 to 17.30 (UK time)
Saturday, June 13, 2026 – 10.00 to 17.30 (UK time)
Presenters:
Professor Emmanuel Thanassoulis &
Professor Ali Emrouznejad
by Ali Emrouznejad & Rajiv Banker


William W Cooper

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Performance Improvement Management Software – PIM-DEA software
Managing Service Productivity : Uses of Frontier Efficiency Methodologies and MCDM for Improving Service Performance, Springer

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DownloadPerformance Measurement with Fuzzy DEA, Springer

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Strategic Performance Management &
Measurement Using DEA. IGI Global, USA.

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