Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis

被引:119
|
作者
Cooper, WW [1 ]
Deng, H
Huang, Z
Li, SX
机构
[1] Univ Texas, Red McCombs Sch Business, Dept Management Sci & Informat Syst, Austin, TX 78712 USA
[2] Adelphi Univ, Sch Business, Garden City, NY 11530 USA
关键词
efficiency; data envelopment analysis; dominance; stochastic; chance constraints;
D O I
10.1057/palgrave.jors.2601433
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper replaces ordinary DEA formulations with stochastic counterparts in the form of a series of chance constrained programming models. Emphasis is on technical efficiencies and inefficiencies which do not require costs or prices, but which are nevertheless basic in that the achievement of technical efficiency is necessary for the attainment of 'allocative', 'cost' and other types of efficiencies.
引用
收藏
页码:1347 / 1356
页数:10
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