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dc.contributor.authorYazdani, Morteza
dc.contributor.authorWen, Zhi
dc.contributor.authorLiao, Huchang
dc.contributor.authorBanaitis, Audrius
dc.contributor.authorTurskis, Zenonas
dc.date.accessioned2023-09-18T20:15:56Z
dc.date.available2023-09-18T20:15:56Z
dc.date.issued2019
dc.identifier.issn1392-3730
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/148368
dc.description.abstractThis study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.eng
dc.formatPDF
dc.format.extentp. 858-874
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyICONDA
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyGale's Academic OneFile
dc.relation.isreferencedbyTOC Premier
dc.relation.isreferencedbyProQuest Central
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3846/jcem.2019.11309
dc.source.urihttps://journals.vgtu.lt/index.php/JCEM/article/view/11309
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:44276906/datastreams/MAIN/content
dc.titleA grey combined compromise solution (COCOSO-G) method for supplier selection in construction management
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.references74
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversidad Loyola Andalucia
dc.contributor.institutionSichuan University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
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.enmulti-criteria decision-making
dc.subject.ensupplier selection
dc.subject.engrey values
dc.subject.enCombined Compromise Solution method
dc.subject.enCoCoSo
dc.subject.enCoCoSo-G
dc.subject.enBest-Worst method
dcterms.sourcetitleJournal of civil engineering and management
dc.description.issueiss. 8
dc.description.volumevol. 25
dc.publisher.nameVGTU Press
dc.publisher.cityVilnius
dc.identifier.doi000507396100011
dc.identifier.doi10.3846/jcem.2019.11309
dc.identifier.elaba44276906


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