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Data envelopment analysis, operational research and uncertainty
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Dyson, Robert 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. doi:10.1057/jors.2009.145 ISSN 0160-5682.
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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 | ||||
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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 | ||||
Official Date: | January 2010 | ||||
Dates: |
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Volume: | Vol.61 | ||||
Number: | No.1 | ||||
Number of Pages: | 10 | ||||
Page Range: | pp. 25-34 | ||||
DOI: | 10.1057/jors.2009.145 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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