Volume 25, Issue 3 (IJIEPR 2014)                   IJIEPR 2014, 25(3): 207-214 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Razavi Hajiagha S H, Hashemi S S, Amoozad Mahdiraji H. DEA common set of weights based on a multi objective Fractional Programming. IJIEPR. 2014; 25 (3) :207-214
URL: http://ijiepr.iust.ac.ir/article-1-535-en.html
1- Institute for Trade Studies and Research , s.hossein.r@gmail.com
2- Department of management, Kashan Branch, Islamic Azad University, Kashan, Iran
Abstract:   (2993 Views)
Data envelopment analysis operates as a tool for appraising the relative efficiency of a set of homogenous decision making units. This methodology is applied widely in different contexts. Regarding to its logic, DEA allows each DMU to take its optimal weight in comparison with other DMUs while a similar condition is considered for other units. This feature is a bilabial characteristic which optimizes the performance of units in one hand. This flexibility on the other hand threats the comparability of different units because different weighting schemes are used for different DMUs. This paper proposes a unified model for determination of 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 and seeks a set of common weights that rank the DMUs and increase the model's discrimination power. Comparison of the proposed method with some of the previously presented models has shown its advantages as a DMUs ranking model.
Full-Text [PDF 691 kb]   (1985 Downloads)    
Type of Study: Research | Subject: Operations Research
Received: 2013/06/19 | Accepted: 2014/05/21 | Published: 2014/07/23

Add your comments about this article : Your username or Email:

Send email to the article author

© 2019 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb