Abstract
Data envelopment analysis operates as a tool to appraise the relative
efficiency of a set of homogenous decision making units. DEA allows each DMU to take its optimal weight in comparison toother DMUs while a similar condition is considered for other units. This feature threats the comparability of different units because different weighting schemes are used for different DMUs. In this paper, a model is presented to determine a common set of weights to calculate DMUs efficiency. This model is developed based on a multi objective fractional linear programming model that considers the original DEA's results as ideal solution an
d seeks a set of common weights to evaluate DMUs and increases the model's discrimination power. A numerical example is solved and the proposed method's results are compared to some previous methods. This Comparison has shown the proposed method's advantages in ranking DMUs
efficiency of a set of homogenous decision making units. DEA allows each DMU to take its optimal weight in comparison toother DMUs while a similar condition is considered for other units. This feature threats the comparability of different units because different weighting schemes are used for different DMUs. In this paper, a model is presented to determine a common set of weights to calculate DMUs efficiency. This model is developed based on a multi objective fractional linear programming model that considers the original DEA's results as ideal solution an
d seeks a set of common weights to evaluate DMUs and increases the model's discrimination power. A numerical example is solved and the proposed method's results are compared to some previous methods. This Comparison has shown the proposed method's advantages in ranking DMUs
| Original language | English |
|---|---|
| Pages (from-to) | 207-214 |
| Number of pages | 8 |
| Journal | International Journal of Industrial Engineering & Production Research (IJIEPR) |
| Volume | 25 |
| Issue number | 3 |
| Publication status | Published - 1 Sep 2014 |
| Externally published | Yes |
Bibliographical note
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Fingerprint Dive into the research topics of 'DEA with Common Set of Weights Based on a Multi Objective Fractional Programming problem'. Together they form a unique fingerprint.
Cite this
Hajiagha, S. H. R., Hashemi, S. S., & Amoozad Mahdiraji, H. (2014). DEA with Common Set of Weights Based on a Multi Objective Fractional Programming problem. International Journal of Industrial Engineering & Production Research (IJIEPR), 25(3), 207-214.