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dc.contributor.authorMatić, Bojan
dc.contributor.authorJovanović, Stanislav
dc.contributor.authorDas, Dillip Kumar
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorStević, Željko
dc.contributor.authorSremac, Siniša
dc.contributor.authorMarinković, Milan
dc.date.accessioned2023-09-18T19:04:22Z
dc.date.available2023-09-18T19:04:22Z
dc.date.issued2019
dc.identifier.issn2073-8994
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/135222
dc.description.abstractSustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.eng
dc.formatPDF
dc.format.extentp. 1-24
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.3390/sym11030353
dc.source.urihttps://www.mdpi.com/2073-8994/11/3/353
dc.titleA new hybrid MCDM model: sustainable supplier selection in a construction company
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references60
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Novi Sad
dc.contributor.institutionCentral University of Technology
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of East Sarajevo
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensustainability
dc.subject.ensupplier selection
dc.subject.enconstruction
dc.subject.enFUCOM
dc.subject.enrough COPRAS
dc.subject.enrough Dombi aggregator
dcterms.sourcetitleSymmetry: Special Issue: Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes
dc.description.issueiss. 3
dc.description.volumevol. 11
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi10.3390/sym11030353
dc.identifier.elaba36516657


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