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Data envelopment analysis, operational research and uncertainty

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Dyson, R. G. and Shale, Estelle. (2010) Data envelopment analysis, operational research and uncertainty. Journal of the Operational Research Society, Vol.61 (No.1). pp. 25-34. ISSN 0160-5682

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1057/jors.2009.145

Abstract

This paper discusses a number of applications of data envelopment analysis and the nature of uncertainty in those applications. It then reviews the key approaches to handling uncertainty in data envelopment analysis (DEA) (imprecise DEA, bootstrapping, Monte Carlo simulation and chance constrained DEA) and considers their suitability for modelling the applications. The paper concludes with suggestions about the challenges facing an operational research analyst in applying DEA in real-world situations. Journal of the Operational Research Society (2010) 61, 25-34. doi:10.1057/jors.2009.145

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Journal of the Operational Research Society
Publisher: Palgrave Macmillan Ltd.
ISSN: 0160-5682
Date: January 2010
Volume: Vol.61
Number: No.1
Number of Pages: 10
Page Range: pp. 25-34
Identification Number: 10.1057/jors.2009.145
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/16837

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