Within-group common weights in Data Envelopment Analysis: an analysis of power plant efficiency

Within-group common weights in Data Envelopment Analysis: an analysis of power plant efficiency

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Article ID: iaor20084502
Country: Netherlands
Volume: 178
Issue: 1
Start Page Number: 207
End Page Number: 216
Publication Date: Apr 2007
Journal: European Journal of Operational Research
Authors: ,
Keywords: statistics: data envelopment analysis, performance
Abstract:

In many real world applications where DEA is applied, DMUs can often be put into groups, such as those which may be under a single management team. This often means that the multipliers used within a group should be common across that group's members. The case example examined in this regard is one involving a set of power plants, with each containing a set of power units under a common plant management. We develop a goal-programming model for this setting that seeks to derive such a common-multiplier set. The important feature of this multiplier set is that it minimizes the maximum discrepancy among the within-group scores from their ideal levels.

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