@article {10.3844/ajassp.2011.92.96,
article_type = {journal},
title = {An Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment Analysis},
author = {Ashrafi, Ali and Jaafar, Azmi Bin and Lee, Lai Soon and Bakar, Mohd Rizam Abu},
volume = {8},
year = {2011},
month = {Jan},
pages = {92-96},
doi = {10.3844/ajassp.2011.92.96},
url = {https://thescipub.com/abstract/ajassp.2011.92.96},
abstract = {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.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}