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dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorVainiūnas, Povilas
dc.contributor.authorTurskis, Zenonas
dc.contributor.authorTamošaitienė, Jolanta
dc.date.accessioned2023-09-18T19:02:46Z
dc.date.available2023-09-18T19:02:46Z
dc.date.issued2012
dc.identifier.issn0219-6220
dc.identifier.other(BIS)VGT02-000024408
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/134684
dc.description.abstractConstruction processes planning and e®ective management are extremely important for success in construction business. Head of a design must be well experienced in initiating, planning, and executing of construction projects. Therefore, proper assessment of design projects' managers is a vital part of construction process. The paper deals with an efective methodology that might serve as a decision support aid in assessing project managers. Project managers' diferent characteristics are considered to be more or less important for the efective management of the project. Qualifying of managers is based on laws in force and sustainability of project management involving determination of attributes value and weights by applying analytic hierarchy process (AHP) and expert judgement methods. For managers' assessment and decision supporting is used additive ratio assessment method (ARAS ). The model, presented in this study, shows that the three diferent methods combined (ARAS method aggregated together with the AHP method and the expert judgement method) is an efective tool for multiple criteria decision aiding. As a tool for the assessment of the developed model, was developed multiple criteria decision support system (MCDSS) weighting and assessment of ratios (WEAR) software. The solution results show that the created model, selected methods and MCDSS WEAR can be applied in practice as an efective decision aid.eng
dc.formatPDF
dc.format.extentp. 501-502
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyAcademic Search Complete
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttp://www.worldscinet.com/ijitdm/11/1102/S0219622012400135.html
dc.titleMultiple criteria decision support system for assessment of projects managers in construction
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references65
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.enConstruction
dc.subject.enProject
dc.subject.enManager
dc.subject.enRanking
dc.subject.enMCDM
dc.subject.enModel
dc.subject.enARAS
dc.subject.enAHP
dc.subject.enExpert judgement
dc.subject.enSoftware
dcterms.sourcetitleInternational journal of information technology & decision making
dc.description.issueno. 2
dc.description.volumeVol. 11
dc.publisher.nameWorld Scientific
dc.publisher.citySingapure
dc.identifier.doi10.1142/S0219622012400135
dc.identifier.elaba3978001


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