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Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis
Journal article   Peer reviewed

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

W.W. Cooper, H. Deng, Z. Huang and S.X. Li
The journal of the Operational Research Society, Vol.53(12), pp.1347-1356
2002

Abstract

Data envelopment analysis Decision making Stochastic data Efficiency Studies
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.
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