Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481139 | European Journal of Operational Research | 2009 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yao Chen, Liang Liang, Joe Zhu,