Rodyti trumpą aprašą

dc.contributor.authorBanihashemi, Sayyid Ali
dc.contributor.authorKhalilzadeh, Mohammad
dc.contributor.authorAntuchevičienė, Jurgita
dc.contributor.authorEdalatpanah, Seyyed Ahmad
dc.date.accessioned2023-09-18T16:26:54Z
dc.date.available2023-09-18T16:26:54Z
dc.date.issued2023
dc.identifier.issn2075-5309
dc.identifier.other(crossref_id)143643853
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114057
dc.description.abstractThe construction supply chain network has been facing challenges in relation to reducing cost and delivery time, increasing the quality of the built assets, and reducing environmental pollution. These issues have caused contractors and project managers in this industry to note the concept of green construction supply chain management (GCSCM). This study examined the most important challenges and barriers to the implementation of GSCM in the construction industry. In this paper, the components and sub-components of GCSCM were identified using the literature review and opinions of the experts according to the supply chain management. The opinions of construction experts and project managers were collected through focus group meetings. The components were categorized into five main and supporting groups, with “Green Design”, “Green Procurement”, and “Green Production” as the main components and “Green Management” and “Green Information” as the supporting components. Subsequently, the sub-components, in regard to each component, were distinguished. Finally, the fuzzy best–worst method (BWM) was utilized to determine the importance weights of the identified components and sub-components through the opinions of five experts with practical relevant experience. The findings of the fuzzy BWM method show that “Green Design” is the most important component, followed by “Green Management” and “Green Implementation”. Additionally, “Lack of designers, contractors and planners” was ranked the first among the identified sub-components. This paper can assist construction managers, contractors, and policymakers with finding and overcoming the barriers and obstacles of implementing GCSCM.eng
dc.formatPDF
dc.format.extentp. 1-19
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyDOAJ
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2075-5309/13/1/38
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:150496040/datastreams/MAIN/content
dc.titleIdentifying and prioritizing the challenges and obstacles of the green supply chain management in the construction industry using the fuzzy BWM method
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.references66
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionPayame Noor University
dc.contributor.institutionIslamic Azad University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionAyandegan Institute of Higher Education
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics 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.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.engreen supply chain management
dc.subject.enbarrier
dc.subject.enmulti-criteria decision-making
dc.subject.enfuzzy BWM
dc.subject.enconstruction industry
dcterms.sourcetitleBuildings: Special issue: Intelligent multi-criteria decision-making methodologies in building and construction management
dc.description.issueiss. 1
dc.description.volumevol. 13
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi143643853
dc.identifier.doi000914421600001
dc.identifier.doi10.3390/buildings13010038
dc.identifier.elaba150496040


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