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Paper Information

Journal:   IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP)   2012 , Volume 1 , Number 1; Page(s) 57 To 63.
 
Paper: 

MODELING NON-DISCRETIONARY FACTORS IN EFFICIENCY MEASUREMENT OF THE IRANIAN REGIONAL ELECTRICITY COMPANIES

 
 
Author(s):  KAZEMI MATIN REZA, AZIZI ROZA
 
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Abstract: 

Data envelopment analysis (DEA) is a non-parametric approach for measuring the efficiency score of decision making units, which convert a set of inputs to a set of outputs. The conventional DEA models are presented just for discretionary data and data, which are beyond the control of human and for example, are affected by environmental factors, cannot be analyzed in these models. In the recent DEA literature, there are some methods to analyze the efficiency score of production systems with these nondiscretionary data. In this article, we will investigate some of the most influential DEA methods in modeling non-discretionary factors. The presented non-parametric approaches are then applied to the Iranian electricity industry as one of the most effective industries in country development.

 
Keyword(s): DATA ENVELOPMENT ANALYSIS, EFFICIENCY, NON-DISCRETIONARY DATA, ELECTRICITY INDUSTRY
 
 
References: 
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APA: Copy

KAZEMI MATIN, R., & AZIZI, R. (2012). MODELING NON-DISCRETIONARY FACTORS IN EFFICIENCY MEASUREMENT OF THE IRANIAN REGIONAL ELECTRICITY COMPANIES. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), 1(1), 57-63. https://www.sid.ir/en/journal/ViewPaper.aspx?id=276006



Vancouver: Copy

KAZEMI MATIN REZA, AZIZI ROZA. MODELING NON-DISCRETIONARY FACTORS IN EFFICIENCY MEASUREMENT OF THE IRANIAN REGIONAL ELECTRICITY COMPANIES. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP). 2012 [cited 2021July27];1(1):57-63. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276006



IEEE: Copy

KAZEMI MATIN, R., AZIZI, R., 2012. MODELING NON-DISCRETIONARY FACTORS IN EFFICIENCY MEASUREMENT OF THE IRANIAN REGIONAL ELECTRICITY COMPANIES. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), [online] 1(1), pp.57-63. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276006.



 
 
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