Implementation of data envelopment analysis genetic algorithm for improved performance assessment of transmission units in power industry

2011 ◽  
Vol 8 (1) ◽  
pp. 83
Author(s):  
Ali Azadeh ◽  
Sayed Mohammad Asadzadeh ◽  
Somayeh Ahmadi Movaghar
Keyword(s):  
Genetic Algorithm ◽  
Data Envelopment Analysis ◽  
Performance Assessment ◽  
Power Industry ◽  
Data Envelopment ◽  
Improved Performance

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

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