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dc.contributor.authorBicakci, Ismail
dc.contributor.authorIc, Yusuf Tansel
dc.contributor.authorKarasakal, Esra
dc.contributor.authorDengiz, Berna
dc.date.accessioned2022-11-15T08:52:42Z
dc.date.available2022-11-15T08:52:42Z
dc.date.issued2022
dc.identifier.issn0219-6220en_US
dc.identifier.urihttp://hdl.handle.net/11727/8104
dc.description.abstractIn the event of failure of the product, level of repair analysis (LORA) is used to determine (1) whether the defective component should be discarded or repaired and (2) where this repair is made. In the literature, these repair operations are made with the aim of minimizing the total life cycle cost of the product. In this paper, we develop a multi-objective decision model that minimizes both the repair time (affected by lead times) and the repair costs. Our proposed model also considers the movement of the defective components to be performed by multiple transportation modes such as highway, railway, and airway. We use the epsilon constraint method to generate the Pareto frontier and analyze the trade-off between total repair costs and total repair time. We demonstrate the approach on an example problem.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1142/S0219622021500632en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLevel of repair analysisen_US
dc.subjectmulti-objective optimizationen_US
dc.subjectepsilon constraint methoden_US
dc.subjectlead timeen_US
dc.subjectPareto frontieren_US
dc.titleA Multi-Objective Mathematical Model for Level of Repair Analysis with Lead Times and Multi-Transportation Modesen_US
dc.typearticleen_US
dc.relation.journalINTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKINGen_US
dc.identifier.volume21en_US
dc.identifier.issue1en_US
dc.identifier.startpage423en_US
dc.identifier.endpage440en_US
dc.identifier.wos000754577200015en_US
dc.identifier.scopus2-s2.0-85116928725en_US
dc.contributor.orcIDhttps://orcid.org/0000-0001-9274-7467en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.contributor.researcherIDAGE-3003-2022en_US


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