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

被引：126

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

来源：

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2002年 / 53卷 / 12期

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

页码：1347 / 1356

页数：10

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