经典的数据包络分析(DEA)模型将决策单元看作"黑箱",忽视决策单元的内部过程,必然会高估决策单元的效率。本文研究了一种资源约束型两阶段生产系统的DEA效率评价方法,针对此类生产过程的内部过程,研究其内部运行机制对整体效率的影响。本文提出的模型实质上是一类特殊的网络DEA模型,其评价原理有别于已有的研究成果,但更有助于管理者确定生产过程的非有效来源及其效率改进方向。实例证实本文方法的合理性。
The original Data Envelopment Analysis(DEA) models regard the DMUs as black boxes,that is,ignore the internal process for each DMU,which surely overrates the efficiency scores of DMUs.This paper advances a DEA-based efficiency-measuring model for two-stage production systems with constrained resources.The approach considers the internal process and its impact on the total performance.In reality the model is a special network DEA model,but differs from the previous network DEA models.The approach is helpful to offer information for managers to determine the inefficient originations and improvement directions.The demonstration study approves the rationality of our approach.