Title: Performance evaluation and ranking of electricity companies using fuzzy network data envelopment analysis: a case study of Iranian regional electricity organisations
Authors: Negar Roghaee; Emran Mohammadi; Nilofar Varzgani
Addresses: Economics and Social System Department, Iran University of Science and Technology, Tehran, Iran ' Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran ' Business Systems and Analytics Department, La Salle University, Philadelphia, USA
Abstract: Data envelopment analysis (DEA) is one of the most appropriate methods for a data-oriented approach to evaluate the performance of a set of entities called decision making units (DMUs). This study aims at evaluating the efficiency of Iranian regional power companies using data envelopment analysis (DEA), under the uncertainty conditions in the fuzzy necessity scheme. In this study, we determine the total efficiency as well as the efficiency of each stage including the production, transmission and distribution using fuzzy network DEA (FNDEA). Since the Iranian power industries have a network structure, the network DEA process has been used for evaluating the efficiency of the processes of companies. Sixteen Iranian regional power companies were selected and analysed based on the performance of the production, transferring, and distribution.
Keywords: fuzzy mathematical programming; Iranian power industry; network data envelopment analysis; NDEA; performance assessment; uncertainty.
International Journal of Management and Decision Making, 2020 Vol.19 No.4, pp.450 - 472
Received: 02 Oct 2019
Accepted: 03 Mar 2020
Published online: 01 Sep 2020 *