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dc.contributor.authorLiu, Fuh-Hwa Franklinen_US
dc.contributor.authorPeng, Hao Hsuanen_US
dc.date.accessioned2014-12-08T15:12:13Z-
dc.date.available2014-12-08T15:12:13Z-
dc.date.issued2008-05-01en_US
dc.identifier.issn0305-0548en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.cor.2006.09.006en_US
dc.identifier.urihttp://hdl.handle.net/11536/9388-
dc.description.abstractConventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision-making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. This research proposes a methodology to determine one common set of weights for the performance indices of only DEA efficient DMUs. Then, these DMUs are ranked according to the efficiency score weighted by the common set of weights. For the decision maker, this ranking is based on the optimization of the group's efficiency. (c) 2006 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectdata envelopment analysisen_US
dc.subjectcommon weights analysisen_US
dc.subjectrankingen_US
dc.titleRanking of units on the DEA frontier with common weightsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cor.2006.09.006en_US
dc.identifier.journalCOMPUTERS & OPERATIONS RESEARCHen_US
dc.citation.volume35en_US
dc.citation.issue5en_US
dc.citation.spage1624en_US
dc.citation.epage1637en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000251126000018-
dc.citation.woscount32-
Appears in Collections:Articles


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