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dc.contributor.authorSivilevičius, Henrikas
dc.contributor.authorSkrickij, Viktor
dc.contributor.authorSkačkauskas, Paulius
dc.date.accessioned2023-09-18T16:09:07Z
dc.date.available2023-09-18T16:09:07Z
dc.date.issued2021
dc.identifier.issn2076-3417
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111846
dc.description.abstractThe transport infrastructure’s pavement is made of asphalt layers, placed and compacted. The asphalt mixture is produced in an asphalt mixing plant (AMP) using expensive technological equipment which, when it becomes obsolete and worn out, is replaced with new equipment. One of the main problems related to the replacement process is that when it comes to purchasing new AMPs, the decision making involved is, in most cases, highly intuitive due to a lack of clearly defined criteria. In order to remedy this situation, this work presents an analysis of the correlation between the number of AMPs and the production of asphalt mixtures. Firstly, a correlation analysis was performed based on the European Asphalt Pavement Association (EAPA) data. Secondly, the current situation with the AMPs in European countries was analysed. Furthermore, a case study was performed and a system of nine criteria was created to identify why/when road construction companies operating in the Baltic States buy new AMPs. The weights of the criteria have been established by applying the Analytic Hierarchy Process (AHP) method. It was found that the most important criterion during the decision-making process for road construction companies is increased requirements for improving the quality of the asphalt mixture produced (criteria weight 25.0%). With a weight of 20.6%, the second vital criterion is the possibility of receiving support from European funds. The third criterion is the expectation of having a sizeable asphalt-paving site (weight 20.4%). The other six criteria are also significant, their weights varying between 1.6% and 13.5%. The industrial companies can use the obtained results for designing, producing and selling AMPs and adjusting strategic business plans.eng
dc.formatPDF
dc.format.extentp. 1-27
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyGale's Academic OneFile
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2076-3417/11/20/9375
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:107599337/datastreams/MAIN/content
dc.titleThe correlation between the number of asphalt mixing plants and the production of asphalt mixtures in European Countries and the Baltic States
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references76
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.studydirectionE12 - Transporto inžinerija / Transport engineering
dc.subject.vgtuprioritizedfieldsSD0202 - Aplinką tausojančios statybinės medžiagos ir technologijos / Low emissions building materials and technologies
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enasphalt mixing plant
dc.subject.enasphalt mixture
dc.subject.encorrelation
dc.subject.enproduction
dc.subject.encauses for purchasing
dc.subject.enAHP method
dcterms.sourcetitleApplied sciences
dc.description.issueiss. 20
dc.description.volumevol. 11
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi10.3390/app11209375
dc.identifier.elaba107599337
dc.identifier.wos000711868000001


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