TY  - JOUR
AU  - Ashrafi, Ali 
AU  - Jaafar, Azmi Bin 
AU  - Lee, Lai Soon 
AU  - Bakar, Mohd Rizam Abu 
PY  - 2011
TI  - An Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment Analysis
JF  - American Journal of Applied Sciences
VL  - 8
IS  - 1
DO  - 10.3844/ajassp.2011.92.96
UR  - https://thescipub.com/abstract/ajassp.2011.92.96
AB  - Problem statement: Conventional Data Envelopment Analysis (DEA) helps decision makers to discriminate between efficient and inefficient Decision Making Units (DMUs). However, DEA does not provide more information about the efficient DMUs. Super-efficiency DEA model can be used in ranking the performance of efficient DMUs. Because of the possible infeasibility of radial super-efficiency DEA model, the ranking has been limited to the model under the assumption of Constant Returns to Scale (CRS). Approach: This study proposes a super-efficiency model based on the Enhanced Russell Measure (ERM) of efficiency. This is a non-radial measure and appropriate for ranking the efficient DMUs when inputs and outputs may change non-proportionally. Results: Theoretical results show that the new super-efficiency model is always feasible under the assumption of non-CRS. Also, numerical examples from the literature are provided to test the new super-efficiency approach. Conclusion: This study provides a non-radial measure of super-efficiency based on the ERM model to discriminate among the efficient DMUs resulting different efficiency scores greater than one. Unlike the traditional radial super-efficiency models, the proposed method is always feasible.