A novel network data envelopment analysis model for performance measurement of Turkish electric distribution companies

Petridis, Konstantinos, Ünsal, Mehmet G, Dey, Prasanta K and Örkcü, Hasan H (2019). A novel network data envelopment analysis model for performance measurement of Turkish electric distribution companies. Energy, 174 , pp. 985-998.


Electric distribution companies have a significant role for both households and industries. Benchmarking of the electric distribution companies in the energy sector has become a subject that is studied widely nowadays due to the effect of privatization policies for developing countries. Since there are multiple production stages regarding the generation and supply procedures of electric power, Network DEA technique is used. Directional Distance Function is also integrated into Network DEA technique. Electric distribution companies are organizations that are aiming at maximizing profit while minimizing the expenses. The main problem is how the profit idea can be integrated into the evaluation process. The aim of the proposed model is to evaluate profit efficiency of electric distribution companies while taking into account expansion cost for additional energy supply. This two stage approach is applied to Turkish electric distribution companies. Results are presented based on radial and profit efficiency measures. The proposed model is demonstrates realistic results by considering the expenses and incomes of distribution companies.

Publication DOI: https://doi.org/10.1016/j.energy.2019.01.051
Divisions: Aston Business School > Operations & information management
Aston Business School
Aston Business School > Operations & information management research group
Additional Information: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Directional distance function,Electric distribution,Network DEA,Profit efficiency,Civil and Structural Engineering,Building and Construction,Pollution,Mechanical Engineering,Industrial and Manufacturing Engineering,Electrical and Electronic Engineering
Full Text Link:
Related URLs: https://www.sci ... 0532?via%3Dihub (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Accepted Date: 2019-01-12
Published Online Date: 2019-05-01
Published Date: 2019-05-01
Authors: Petridis, Konstantinos
Ünsal, Mehmet G
Dey, Prasanta K ( 0000-0002-9984-5374)
Örkcü, Hasan H



Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 5 February 2020.

License: Creative Commons Attribution Non-commercial No Derivatives

Export / Share Citation


Additional statistics for this record