Chance constrained programming approaches to congestion in stochastic data envelopment analysis

The models described in this paper for treating congestion in DEA are extended by according them chance constrained programming formulations. The usual route used in chance constrained programming is followed here by replacing these stochastic models with their “deterministic equivalents.” This lead...

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Veröffentlicht in:	European journal of operational research Jg. 155; H. 2; S. 487 - 501
Hauptverfasser:	Cooper, William W., Deng, H., Huang, Zhimin, Li, Susan X.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.06.2004 Elsevier Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	Chance constrained programming Congestion Data envelopment analysis DEA (data envelopment analysis) Inefficiency Nonlinear programming Studies Inefficiency Congestion DEA (data envelopment analysis) Chance constrained programming
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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