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dc.creatorSokić, Miroslav
dc.creatorIlić, Ilija B.
dc.creatorManojlović, Vaso
dc.creatorMarković, Branislav
dc.creatorGulišija, Zvonko
dc.creatorPavlović, Milan D.
dc.creatorŠtrbac, Nada
dc.date.accessioned2021-03-10T13:07:15Z
dc.date.available2021-03-10T13:07:15Z
dc.date.issued2016
dc.identifier.issn1785-8860
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/3331
dc.description.abstractThe impact of various time-defendant factors on the recycling rate of end-of-life vehicles (ELV) in Republic of Serbia was investigated. Statistical distribution of the frequency of the number of ELV in the year of dismantling depending on the year of production of ELV is designed using the two-parameter Weibull distribution function and MATLAB software, based on a real time data. Obtaining the time-dependence of Weibull parameters, a statistical distribution of frequency of the number of ELV in the coming period in Serbia was simulated. These results in combination with amount of materials in the most abundant cars in Serbia were used to simulate the overall amount of materials, which are available for recycling, in the coming period. These results are essential for automotive recycling industry management, particularly for shredders, dismantlers and metal pre-processors.en
dc.publisherBudapest Tech, Budapest
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/34023/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35033/RS//
dc.rightsopenAccess
dc.sourceActa Polytechnica Hungarica
dc.subjectdynamic modelen
dc.subjectELVen
dc.subjectrecyclingen
dc.subjectsecondary raw materialsen
dc.subjectsimulationen
dc.titleModeling and Prediction of the end of Life Vehicles Number Distribution in Serbiaen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage172
dc.citation.issue4
dc.citation.other13(4): 159-172
dc.citation.rankM23
dc.citation.spage159
dc.citation.volume13
dc.identifier.doi10.12700/APH.13.4.2016.4.10
dc.identifier.rcubconv_5102
dc.identifier.scopus2-s2.0-84984829449
dc.identifier.wos000384766900010
dc.type.versionpublishedVersion


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