Sample median approximation on stochastic data envelopment analysis

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dc.authorscopusid57222536729
dc.authorscopusid36465425100
dc.authorscopusid24481107300
dc.authorscopusid57193792516
dc.authorscopusid55964801300
dc.contributor.authorNasution, Marah Doly
dc.contributor.authorMawengkang, Herman
dc.contributor.authorKamil, Anton Abdulbasah
dc.contributor.authorEfendi, Syahril
dc.contributor.authorSutarman
dc.date.accessioned2024-09-11T19:57:58Z
dc.date.available2024-09-11T19:57:58Z
dc.date.issued2020
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractThis paper study a new approximation model to solving stochastic data envelopment analysis (SDEA) problem. The proposed approach is based on problems that might occur in everyday life. This paper discusses the approach in determining the efficiency and super efficiency ratings of a decision making unit (DMU) in the DEA model with stochastic data. In determining efficiency, SDEA is first transformed into an equivalent deterministic DEA by changing its chance constraints in such a way that the SDEA problem can be solved easily. The author proposes an approach technique called a sample median approximation (SMA) to change the chance constraints so that it will be easy to get the optimal solution in determining the efficiency of DMUs. In the process, the data to be processed first is determined by the median average which will later be considered to represent the actual sample average. As a numerical example, the author resolves the vendor selection problem as presented by Wu and Olson (2006) in their paper. By taking the same parameter value (a = 0.2 and beta = 0.9), the efficiency score and super efficiency of the problem are obtained. © 2020 Inderscience Enterprises Ltd.. All rights reserved.en_US
dc.identifier.doi10.1504/IJASM.2020.109242
dc.identifier.endpage295en_US
dc.identifier.issn1741-9174en_US
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85093664190en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage279en_US
dc.identifier.urihttps://doi.org/10.1504/IJASM.2020.109242
dc.identifier.urihttps://hdl.handle.net/11363/8382
dc.identifier.volume13en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.relation.ispartofInternational Journal of Agile Systems and Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectBanker, Charnes and Cooper model; Data envelopment analysis; Decision making unit; Deterministic data envelopment analysis; Efficiency; Level of aspiration; Level of risk; Sample median approximation; SDEA; SMA; Stochastic data envelopment analysis; Super efficiencyen_US
dc.titleSample median approximation on stochastic data envelopment analysisen_US
dc.typeArticleen_US

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