基于交叉效率DEA和熵IAHP对物流企业绩效评价

发布时间：2018-05-11 09:28

本文选题：运筹学 + 绩效评价　；参考：《运筹与管理》2015年03期

【摘要】：本文在研究了现有文献对物流企业绩效评价的基础上,基于超效率DEA用以计算效率值的权值只在对被评价单元最有利的特定范围内取值、忽视绩效评价的公平性和IAHP方法主观判断性较大的缺陷,提出了交叉效率DEA和熵IAHP方法。交叉效率DEA的中心思想是采用互评体系,弥补了超效率DEA方法只是选择对被评价决策单元最有效的权重忽视公平性的缺陷。熵IAHP方法是客观确定权重的熵权法和体现决策者偏好的IAHP方法的结合,这有效地解决了IAHP方法确定指标权重时主观性过大的缺陷。笔者给出了交叉效率DEA和熵IAHP模型评价物流企业绩效的基本步骤,最后通过一个实例验证了此方法的有效性和优越性。
[Abstract]:Based on the study of the performance evaluation of logistics enterprises in the existing literature, the weights used to calculate efficiency values based on super-efficiency DEA are only selected in the specific range that is most favorable to the unit under evaluation. Ignoring the fairness of performance evaluation and the large subjective judgment of IAHP method, the cross-efficiency DEA and entropy IAHP methods are proposed. The central idea of cross-efficiency DEA is to adopt a mutual evaluation system, which makes up for the defect that the super-efficient DEA method only selects the most effective weight to be evaluated and ignores the fairness of the decision making unit. Entropy IAHP method is a combination of entropy weight method and IAHP method, which reflects the preference of decision makers, which effectively solves the disadvantage of too much subjectivity in determining index weight by IAHP method. The author gives the basic steps to evaluate the performance of logistics enterprises by cross-efficiency DEA and entropy IAHP model. Finally, an example is given to verify the effectiveness and superiority of this method.
【作者单位】：大连理工大学系统工程研究所;
【分类号】：F259.2;F272.5

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