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dc.contributor.authorTone, Kaoru
dc.contributor.authorToloo, Mehdi
dc.contributor.authorIzadikhah, Mohammad
dc.date.accessioned2020-09-24T09:02:54Z
dc.date.available2020-09-24T09:02:54Z
dc.date.issued2020
dc.identifier.citationEuropean Journal of Operational Research. 2020, vol. 287, issue 2, p. 560-571.cs
dc.identifier.issn0377-2217
dc.identifier.issn1872-6860
dc.identifier.urihttp://hdl.handle.net/10084/141816
dc.description.abstractThe slacks-based measure (SBM) model can divide the set of observations into two mutually exclusive and collectively exhaustive sets: efficient and inefficient. However, it fails to provide more details about efficient DMUs, which reveals the lack of discrimination power in the SBM model. With the aim of addressing this issue, the super SBM (SupSBM) model has been suggested which can rank the SBM-efficient DMUs without providing any useful information about SBM-inefficient DMUs. As a result, in order to fully rank both efficient and inefficient DMUs, one needs to run both SBM and SupSBM models which leads to a significant increase in the number of required computations. This paper tackles this problem and modifies the SBM model which measures SBM-efficiency score for inefficient DMUs and SupSBM-efficiency score for strong efficient DMUs, simultaneously. Finally, a simulation study is presented to illustrate the superiority of our proposed model over the existing models with various problem sizes.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesEuropean Journal of Operational Researchcs
dc.relation.urihttp://doi.org/10.1016/j.ejor.2020.04.019cs
dc.rights© 2020 Elsevier B.V. All rights reserved.cs
dc.subjectdata envelopment analysis (DEA)cs
dc.subjectslacks-based measurecs
dc.subjectefficiencycs
dc.subjectsuper-efficiencycs
dc.subjectsimulationcs
dc.titleA modified slacks-based measure of efficiency in data envelopment analysiscs
dc.typearticlecs
dc.identifier.doi10.1016/j.ejor.2020.04.019
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume287cs
dc.description.issue2cs
dc.description.lastpage571cs
dc.description.firstpage560cs
dc.identifier.wos000550057300012


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