Issues on DEA network models of Fare & Grosskopf and Kao

被引:4
|
作者
Feizabadi, Reza [1 ]
Bagherian, Mehri [1 ]
Moghadam, Sedighe Shahmoradi [1 ]
机构
[1] Univ Guilan, Fac Math Sci, Rasht, Iran
关键词
Data envelopment analysis; Network model; Process; Inefficiency slack; Mediating factor; Outside factor; DATA ENVELOPMENT ANALYSIS; EFFICIENCY DECOMPOSITION; COST EFFICIENCY; PRODUCTIVITY; SCALE;
D O I
10.1016/j.cie.2019.01.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Classic models in data envelopment analysis view DMUs as black boxes. These models consider only the DMU's inputs and outputs in evaluation and discard individual process performance and relationship between them. For this reason, they seem to be of less applicability in evaluation of network systems. In this regard network systems were introduced. Fare and Grosskopf in 2000 and Kao in 2009 represented two network models. Since then, many researchers used these models for efficient analysis of real world systems and industries. This paper discuses specification and weakness of these two models from a comparative point of view. Finally a network system is presented in which these two models are equivalent.
引用
收藏
页码:727 / 735
页数:9
相关论文
共 50 条