Evaluation of efficiency of electricity distribution company. Using modified DEA approach in Fuzzy environment Case study: Electricity Distribution Company of Fars Province

A. Gharib, Kamran Ghorban Nejad
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Abstract

In present research, a modified DEA model has been used to evaluate the efficiency of different regions of Fars electricity distribution company in a Fuzzy environment. This model eliminates the weak points of basic models of data envelopment analysis in calculation of a different collection of selected weights for different units. First, the efficiency of electricity distribution units was measured using classical model of data envelopment analysis, and then this action was performed using modified model. In classic model, 5 electricity distribution units out of 18 were considered as efficient areas (about 28%), while in modified model, only 1 unit (about 5.5%) was efficient. The average of unit efficiency in classical model was 0.74, while in modified model it was 0.36. It indicates that this model not only eliminates the mentioned weak point, but also it increases the differentiation potential of classical models.
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配电公司效率评价。模糊环境下改进的DEA方法——以法尔斯省配电公司为例
本文采用改进的DEA模型,对模糊环境下法尔斯配电公司各区域的效率进行了评价。该模型消除了数据包络分析基本模型在计算不同单位的选定权重的不同集合时的弱点。首先采用数据包络分析的经典模型对配电机组的效率进行测度,然后采用改进模型对其进行测度。在经典模型中,18个配电单元中有5个被认为是有效区域(约占28%),而在修正模型中,只有1个单元是有效区域(约占5.5%)。经典模型的平均单位效率为0.74,修正模型的平均单位效率为0.36。结果表明,该模型不仅消除了上述弱点,而且增加了经典模型的分化潜力。
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