Equivalence in two-stage DEA approaches

نویسندگان

  • Yao Chen
  • Liang Liang
  • Joe Zhu
چکیده

Data envelopment analysis (DEA) is a linear programming problem approach for evaluating the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. DMUs can have a two-stage structure where all the outputs from the first stage are the only inputs to the second stage, in addition to the inputs to the first stage and the outputs from the second stage. The outputs from the first stage to the second stage are called intermediate measures. This paper examines relations and equivalence between two existing DEA approaches that address measuring the performance of two-stage processes. 2007 Published by Elsevier B.V.

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عنوان ژورنال:
  • European Journal of Operational Research

دوره 193  شماره 

صفحات  -

تاریخ انتشار 2009