Measuring Performance of Power Plants by an Integrated DEA-Game Theory Approach

Measuring Performance of Power Plants by an Integrated DEA-Game Theory Approach

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Part of #Measuring Performance of Power Plants by an Integrated DEA-Game Theory Approach# :

Publishing year : 2012

Conference : Eighth International Industrial Engineering Conference

Number of pages : 5

Abstract: In various studies for estimating power generation units, data envelopment analysis (DEA) and balanced scorecard (BSC) are common methods used for performance evaluation. To increase the power of the method in terms of distinguishing between efficient and uneffective decision making units (DMUs), the number of units being evaluated must be proportional to the number of variables (inputs and outputs). In other words, the number of efficient DMUs relies on the number of variables. On the other hand, in a real case study, it is necessary to explore how to combine multi categories of measures in a unified evaluation framework. This paper introduces integrated DEA and game theory approaches. In addition, we definemeasures based on BSC perspectives. BSC is used to categorize the efficiency measures. The abilities of the proposed approach have been shown by a case study of power plants in Iran.