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Congestion estimation of selected Iranian electricity generation firms using data envelopment analysis
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F. Babakhani   , M. Ghiyasi , M. Fattahi , M. Mokari |
| Department of Industrial Engineering & Management Sciences, Shahrood University of Technology, Shahrood, Iran |
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Abstract: (742 Views) |
Since the beginning of the industrial renaissance and the advent of the machine age, the focus and planning of enterprises has been to maximize production. The key and leading model of societies from that time to the present day, manufacturing companies has always been the maximum use of resource minimization that means increasing productivity and efficiency and this will not be achieved unless this end is to improve productivity in the production chain. In energy-producing enterprises, including electricity fixed basic resources such as fuel consumption and labor are used in production, therefore to evaluate the performance of power generation companies, two important factors can be examined. In this study, by presenting a model based on data envelopment analysis the efficiency and congestion of fuel resources and labor force in selected power generation companies in Iran have been investigated. The results show that 15 companies under evaluation during the years 2005-2019 have the highest average total congestion attached to Bakhtar company at 52% and also Yazd and Kerman electricity companies on the frontier of efficiency without congestion. According to the studies, it was found that the congestion in the inputs in matter will cause inefficiency in the unit and deep erosion destruction in the production in restructure in long intervals.
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| Keywords: Optimization, Efficiency, Congestion, Data Envelopment Analysis, Input, Electricity Generation Company |
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Full-Text [PDF 724 kb]
(622 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2023/05/4 | Accepted: 2023/09/29 | Published: 2023/09/29
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