Deriving the DEA frontier for two-stage processes

作者：Chen Yao; Cook Wade D; Zhu Joe^*

来源：European Journal of Operational Research, 2010, 202(1): 138-142.

DOI：10.1016/j.ejor.2009.05.012

• Data envelopment analysis (DEA)
• Efficiency
• Two-stage
• Intermediate measure
• Frontier

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). Recently DEA has been extended to examine the efficiency of two-stage processes, where all the outputs from the first stage are intermediate measures that make up the inputs to the second stage. The resulting two-stage DEA model provides not only an overall efficiency score for the entire process, but as well yields an efficiency score for each of the individual stages. Due to the existence of intermediate measures, the usual procedure of adjusting the inputs or outputs by the efficiency scores, as in the standard DEA approach, does not necessarily yield a frontier projection. The current paper develops an approach for determining the frontier points for inefficient DMUs within the framework of two-stage DEA.

• 出版日期2010-4-1