数据包络分析SBM超效率模型无可行解问题的两阶段求解法

被引:10
作者
钱振华 [1 ]
成刚 [2 ]
机构
[1] 北京科技大学马克思主义学院
[2] 北京大学中国卫生发展研究中心
基金
中国博士后科学基金;
关键词
数据包络分析; SBM模型; 超效率; 无可行解; 两阶段;
D O I
暂无
中图分类号
O221.1 [线性规划];
学科分类号
070105 ; 1201 ;
摘要
数据包络分析是一种得到广泛应用的基于线性规划的非参数技术效率分析方法,其超效率模型是将被评价DMU从参照集中排除从而使求解得出的效率值可能大于1.超效率模型在文献中用于对有效的DMU进行排序、探测异常值、敏感性和稳定性分析、分析生产率变化的Malmquist模型、二人博弈模型等.超效率模型存在的一个缺陷是在规模收益可变的假设下会出现无可行解的问题.提出了一种基于两阶段求解的SBM超效率模型,并保持了与传统SBM超效率模型的兼容性:在传统的投入(产出)导向SBM超效率模型有可行解时,两阶段法获得的结果与之相同;在传统的投入(产出)导向SBM超效率模型无可行解时,两阶段超效率模型可以得出最接近投入(产出)导向定义的可行解.算例采用实际数据对方法进行了验证.
引用
收藏
页码:171 / 178
页数:8
相关论文
共 20 条
[1]   A modified super-efficiency DEA model for infeasibility [J].
Cook, W. D. ;
Liang, L. ;
Zha, Y. ;
Zhu, J. .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2009, 60 (02) :276-281
[2]  
The directional distance function and measurement of super-efficiency: an application to airlines data[J] . Ray,S C. The Journal of the Operational Research Society . 2008 (6)
[3]   A slacks-based measure of super-efficiency in data envelopment analysis [J].
Tone, K .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (01) :32-41
[4]  
Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models[J] . Mei Xue,Patrick T. Harker. Management Science . 2002 (5)
[5]   Super-efficiency and DEA sensitivity analysis [J].
Zhu, J .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 129 (02) :443-455
[6]   A slacks-based measure of efficiency in data envelopment analysis [J].
Tone, K .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 130 (03) :498-509
[7]   Stability regions for maintaining efficiency in data envelopment analysis [J].
Seiford, LM ;
Zhu, J .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 108 (01) :127-139
[8]  
Data envelopment analysis: The evolution of the state of the art (1978–1995)[J] . Lawrence M. Seiford. Journal of Productivity Analysis . 1996 (2-3)
[9]   Robustness of the efficient DMUs in data envelopment analysis [J].
Zhu, J .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 90 (03) :451-460
[10]  
Chapter 5 Duality, classification and slacks in DEA[J] . Robert M. Thrall. Annals of Operations Research . 1996 (2)