dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Tamošaitienė, Jolanta | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Šileikaitė, Inga | |
dc.contributor.author | Turskis, Zenonas | |
dc.date.accessioned | 2025-05-14T12:46:47Z | |
dc.date.available | 2025-05-14T12:46:47Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1877-7058 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/157596 | |
dc.description.abstract | The paper tackles a hybrid multi-criteria decision-making (MCDM) model related to supply chain management, problems, and the
supplier selection problem. Modern management of materials and products requires continuous evaluation of numerous complex
social, ecological, and economic factors. A group decision process using Analytic Hierarchical Process (AHP) approach presented
to find the criteria weights. Measurement of conflict among criteria and decision makers presented with illustration and numerical
example. Firstly, eight evaluation criteria, including cost, quality, distance, and delivery, reliability, reputation, and technology
level, compatibility, and development ability identified. Later, the ARAS and the Multiplicative Utility function adopted for ranking
and selecting suppliers. Criteria values normalized according to Hovanov method. The ARAS method with this normalisation
method named as a hybrid original model INMUARAS. | en_US |
dc.format.extent | 9 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/157277 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S1877705817306744 | en_US |
dc.subject | AHP | en_US |
dc.subject | ARAS | en_US |
dc.subject | Multiplicative utility function | en_US |
dc.subject | hybrid model | en_US |
dc.subject | INMUARAS | en_US |
dc.subject | selection | en_US |
dc.subject | construction | en_US |
dc.subject | supply chain | en_US |
dc.title | A novel hybrid MCDM approach for complicated supply chain management problems in construction | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.license | CC BY NC ND | en_US |
dcterms.references | 35 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | en_US |
dcterms.sourcetitle | Procedia Engineering | en_US |
dc.description.volume | vol. 172 | en_US |
dc.publisher.name | Elsevier | en_US |
dc.publisher.country | United Kingdom | en_US |
dc.publisher.city | Oxford | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.proeng.2017.02.168 | en_US |