Improving decision-making units in performance analysis methods: a data envelopment analysis approach

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dc.authoridAmirteimoori, Alireza/0000-0003-4160-8509
dc.authoridAllahviranloo, Tofigh/0000-0002-6673-3560
dc.authoridkordrostami, sohrab/0000-0003-0081-8008
dc.authorwosidAmirteimoori, Alireza/I-7703-2019
dc.authorwosidAllahviranloo, Tofigh/V-4843-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorKordrostami, Sohrab
dc.contributor.authorBagheri, Seyed Fatemeh
dc.date.accessioned2024-05-19T14:40:39Z
dc.date.available2024-05-19T14:40:39Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractClassifying decision-making units into efficient and inefficient classes is a common procedure in nonparametric data envelopment analysis approach. The inefficient units can be projected onto the production frontier by decreasing their inputs or increasing their outputs. However, if the closer projection point is clarified, the units will achieve their best situation. Previous methods have only focused on one objective, and other features have been ignored. This paper presents an alternative definition for the best projection by considering three main aspects: cost, revenue and closest projection points. The proposed procedure provides the closest possible distance, the lowest cost and the highest revenue, simultaneously. The goal programming has been used in this model. The results of implementing this approach on China's textile industry have shown the model applicability.en_US
dc.identifier.doi10.1007/s40096-023-00512-5
dc.identifier.issn2008-1359
dc.identifier.issn2251-7456
dc.identifier.scopus2-s2.0-85151472503en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org10.1007/s40096-023-00512-5
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4996
dc.identifier.wosWOS:000961768700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofMathematical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectData Envelopment Analysisen_US
dc.subjectBest Efficienten_US
dc.subjectTechnical Efficiencyen_US
dc.subjectAllocative Efficiencyen_US
dc.subjectClosest Distanceen_US
dc.titleImproving decision-making units in performance analysis methods: a data envelopment analysis approachen_US
dc.typeArticleen_US

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