A cutting-edge data envelopment analysis model for measuring sustainable supplier performance like never before

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dc.authorscopusidFarhad Hosseinzadeh Lotfi / 6507921401
dc.authorwosidFarhad Hosseinzadeh Lotfi / KOM-9666-2024
dc.contributor.authorZoghi, Amin
dc.contributor.authorLotfi, Farhad Hosseinzadeh
dc.contributor.authorSaen, Reza Farzipoor
dc.contributor.authorSaati, Saber
dc.date.accessioned2025-02-07T07:35:56Z
dc.date.available2025-02-07T07:35:56Z
dc.date.issued2024
dc.departmentÄ°stinye Ãœniversitesi
dc.description.abstractOne of the challenges for suppliers is to increase their market share due to the limited target market. In other words, in the supply chain, the demand for suppliers' products is limited. Therefore, suppliers produce a determined share of the required amount by producers. However, when it comes to the share in the amount of output among suppliers, the output of suppliers in this indicator is interdependent. In the classical data envelopment analysis (DEA) models, there are no models that assess the suppliers according to the dependence of at least one output on each other. In this paper, a model is presented that can assess sustainable suppliers in the presence of interdependent output among suppliers by using DEA models and their extension. It can also determine the total benchmarks of decision making units (DMUs) in such a way that satisfies the interdependent output constraint. In other words, benchmarks are not determined independently. Ultimately, an approach is presented to determine efficient projections for inefficient DMUs by considering the concept of interdependent output. To represent the applicability of our proposed model, a dataset for two consecutive years including 32 sustainable suppliers with consideration of interdependent output has been implemented using the model presented in this paper. The resulting sustainability has been compared with a classical model.
dc.identifier.citationZoghi, A., Lotfi, F. H., Saen, R. F., & Saati, S. (2024). A cutting-edge data envelopment analysis model for measuring sustainable supplier performance like never before. Journal of Cleaner Production, 142714.
dc.identifier.doi10.1016/j.jclepro.2024.142714
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85194543552
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.jclepro.2024.142714
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5991
dc.identifier.volume462
dc.identifier.wosWOS:001250271900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorLotfi, Farhad Hosseinzadeh
dc.institutionauthoridFarhad Hosseinzadeh Lotfi / 0000-0001-5022-553X
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of cleaner production
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData Envelopment Analysis
dc.subjectIndependent Output
dc.subjectInterdependent Output
dc.subjectSustainable Suppliers
dc.titleA cutting-edge data envelopment analysis model for measuring sustainable supplier performance like never before
dc.typeArticle

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