A distance-based measure of super efficiency in data envelopment analysis: an application to gas companies

نویسندگان

  • Alireza Amirteimoori
  • Sohrab Kordrostami
چکیده

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about efficient units. Super-efficiency DEA models can be used in ranking the performance of efficient DMUs. This research proposes a methodology to determine an Euclidean distance-based measure of super-efficiency. Then, the DMUs are ranked according to their super-efficiency score. The applicability of the proposed model is illustrated in the context of the analysis of gas companies performance.

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عنوان ژورنال:
  • J. Global Optimization

دوره 54  شماره 

صفحات  -

تاریخ انتشار 2012