两阶段生产系统的DEA效率评价模型

数据包络分析(DEA)作为一种数学规划方法,已经被广泛用来评价一个决策单元相对于其它决策单元的效率。经典的DEA模型把决策单元看作一个“黑箱”,对决策单元的内部运行机制不作深入的研究。本文以一个两阶段生产系统为例,从生产系统的内部过程出发,提出一个基于DEA的模型以合理评估该决策单元的相对效率。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,但确实有助于管理者确定生产过程(如供应链)的非有效来源及其效率改进方向。

A DEA-based Efficiency-Measuring Model for a Two-Stage Production System

Data Envelopment Analysis (DEA) is a mathematical programming approach,which has been widely accepted as an effective tool to evaluate the efficiency of a Decision Making Unit (DMU) relative to other DMUs. Traditional DEA approaches usually treat the evaluated DMU as a'BLACKBO} and ignore its internal mechanism. This paper will advance a DEA-based method to evaluate the performance of a two-stage serial production system with consideration of its internal mechanism. Actually the advanced method in the paper is a special form of a Network DEA model,different from the pervious works but indeed helpful for managers to find out the reason and improvement of inefficiency for any two-stage serial production system,such as a supply chain.