APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION

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dc.authoriduncu, nusin/0000-0003-3030-3363
dc.contributor.authorYalcin, Nese
dc.contributor.authorUncu, Nusin
dc.date.accessioned2025-01-06T17:43:18Z
dc.date.available2025-01-06T17:43:18Z
dc.date.issued2019
dc.description.abstractIn order to stay an actual competitor in today's environment, it is essential for manufacturing organizations to make decisions promptly and correctly. In the real-time manufacturing decision making problems, some alternatives are more likely to be evaluated with respect to multiple conflicting criteria. Several multi-criteria decision-making (MCDM) methods have been available to help decision makers in choosing the best decisive course of actions. The aim of the study is to apply an efficient and relatively new method called Evaluation based on Distance from Average Solution (EDAS) as an applicable and useful MCDM method for robot selection problem (RSP). In order to examine the feasibility and effectiveness of the presented method, several numerical examples from the literature are considered. Comparing with other methods especially MCDM methods given in the literature for the industrial RSPs, the Spearman's rank correlations analysis indicates that this method is capable of accurately ranking selected robots.
dc.identifier.endpage796
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue3
dc.identifier.startpage779
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2609
dc.identifier.volume37
dc.identifier.wosWOS:000488302000008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherYildiz Technical Univ
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectIndustrial robot
dc.subjectrobot selection problem
dc.subjectmanufacturing
dc.subjectMCDM
dc.subjectEDAS
dc.titleAPPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION
dc.typeArticle

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