数据包络分析(DEA)模型及其在绩效评价中的应用综述(英文)

Review of Data Envelopment Analysis(DEA) Model for Performance Measurement

近年出现很多新的生产绩效评价方法,大多考虑到评估系统的整体性,从而克服了单纯依靠财务指标评价的很多弱点。然而,随之而来的是评价过程和指标系统的复杂化,以及实施成本大大增加。数据包络分析(Data Envelopment Analysis,DEA)是一种基于线性规划理论的模型,它将多输入指标和多输出指标综合成为单个评价指标。同时,该模型形成一个优化的效率前沿面,为评价者提供了提高绩效的目标,旨在综述数据包络分析模型的发展及其在绩效评价中的应用案例,以此作为论证,将DEA有效地引入制造企业生产管理过程中的可行性的理论准备,用以指导数据包络分析方法在制造生产领域的实际实施。

Many performance methods have been developed recently to overcome the drawbacks brought by traditional short sighted financial measures, and concern about the integration of the measurement system. However, the problem of a costly and time consuming measurement process accompanied increasing system complexity. Data Envelopment Analysis （DEA）, which is based on a linear programming model, integrates the multiple inputs and multiple outputs including direct and indirect related indicators into a single performance measure. Meanwhile it forms an optimised efficiency frontier as the target of performance improvement. The applications of DEA in performance measurement as preparation work for demonstration of the feasibility of DEA in manufacturing enterprises Or industry is revieed.