Performance Assessment of Iranian Gas Transmission Company’s Operational Zones through a Hybrid Method of DEA – WASPAS – SWARA

• Main Authors: Hossein Safari, Aliyeh Kazemi, Ahmad Mehrpoor Layeghi
• Format: Article
• Language: fas
• Published: Allameh Tabataba'i University Press 2018-07-01
• Series: Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
• Subjects: Performance Assessment; Data Envelopment Analysis; Multi attribute Decision Making; Iranian Gas Transmission Company’s Operational Zones
• Online Access: http://jims.atu.ac.ir/article_8788_f5be98d32c98f74270cded6fcccdc38e.pdf

One of the most known subjects in management literature is performance assessment. In this paper, we have tried to provide a hybrid model in order to evaluate the performance of Iranian gas Transmission Company's operational zones. After an initial screening, due to the low number of Decision making units, different combination of two input and one output are defined. 6 inputs and 4 output criteria have been chosen in initial screening. Based on the experts' judgments, weights or importance of different combinations of input and output extracted using SWARA technique. Then, based on the 22 different combinations, we calculated operational zones efficiency using DEA in the form of CCR and BCC models. In fact for each combination of two input and one output, efficiency for each operational zone has been calculated. Finally, there has been a decision matrix which its’ criteria were equal to different combinations of input and output criteria and their weights gained by SWARA and scores within the matrix were equal to taken efficiency from DEA. In order to calculate final efficiency and prioritizing each operational zone WASPAS technique is used. We use Cohen's kappa coefficient in order to prioritizing validation. The results show that zones 10, 7 and 6 with the highest efficiencies can be appropriate pattern for other zones in resource saving