Stochastic data envelopment analysis in the presence of undesirable outputs

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dc.authoridCharles, V./0000-0001-8943-5681
dc.authoridAmirteimoori, Alireza/0000-0003-4160-8509
dc.authoridmehdizadeh, saber/0000-0003-1230-2711
dc.authorwosidCharles, V./AAS-7987-2020
dc.authorwosidCharles, Vincent/HZK-5038-2023
dc.authorwosidAmirteimoori, Alireza/I-7703-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorCharles, Vincent
dc.contributor.authorMehdizadeh, Saber
dc.date.accessioned2024-05-19T14:46:47Z
dc.date.available2024-05-19T14:46:47Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn contrast to traditional efficiency analysis models in the field of data envelopment analysis (DEA) with undesirable outputs, this paper proposes efficiency models with the joint use of weak and managerial disposability assumptions. First, we develop a deterministic efficiency analysis model to deal with undesirable outputs in a production process. Due to the importance of data variability and uncertainty, the technical efficiency analysis is sensitive to these variations. Using chance-constrained programming theory, we extend our proposed deterministic model to a stochastic production system. To demonstrate the real-world applicability of our proposed models, we employ an empirical application based on actual Iranian gas distribution company data. Although this empirical application is illustrative, our proposed scheme could be used to evaluate the relative efficiency of many real-life production units whose underlying production systems are frequently stochastic.en_US
dc.identifier.doi10.1080/01605682.2023.2172366
dc.identifier.endpage2632en_US
dc.identifier.issn0160-5682
dc.identifier.issn1476-9360
dc.identifier.issue12en_US
dc.identifier.startpage2619en_US
dc.identifier.urihttps://doi.org10.1080/01605682.2023.2172366
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5594
dc.identifier.volume74en_US
dc.identifier.wosWOS:000929003200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of the Operational Research Societyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectStochastic Data Envelopment Analysis (Sdea)en_US
dc.subjectUndesirable Outputsen_US
dc.subjectWeak Disposabilityen_US
dc.subjectManagerial Disposabilityen_US
dc.subjectTechnical Efficiencyen_US
dc.titleStochastic data envelopment analysis in the presence of undesirable outputsen_US
dc.typeArticleen_US

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