Rodyti trumpą aprašą

dc.contributor.authorShahryari Nia, Arash
dc.contributor.authorOlfat, Laya
dc.contributor.authorEsmaeili, Ahmad
dc.contributor.authorRostamzadeh, Reza
dc.contributor.authorAntuchevičienė, Jurgita
dc.date.accessioned2023-09-18T16:39:41Z
dc.date.available2023-09-18T16:39:41Z
dc.date.issued2016
dc.identifier.issn1611-1699
dc.identifier.other(BIS)VGT02-000032417
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/115605
dc.description.abstractThe increasing importance of considering environmental issues as a part of the corporate social responsibility, which has environmental and social impacts as well as affects the image and competitiveness of a firm, has encouraged companies to revise their major processes of supply chain management (SCM). Since the performance of a company heavily relies on its suppliers, it is of vital importance to incorporate environmental criteria into supplier selection problem to satisfy both conventional and environmental criteria, which have only been considered by a limited number of studies. Therefore, following a brief review of green supply chain management (GSCM) and sustainable supply chain management (SSCM) concepts and investigation of supplier selection approaches, this study after focuses on a modified Delphi method that has been applied to determine supplier selection criteria. Also, the intuitionistic fuzzy value (IFV) and interval value intuitionistic fuzzy (IVIF) have been utilised for supplier evaluation regarding the subjective nature and uncertainty of judgment. By using the Choquet Integral operator and fuzzy measures, the best supplier has been selected, and the comparison between IFV and IVIF has been made. This methodology has been applied to a manufacturing company to assess the applicability of the proposed methodology. The proposed methodology can be used for real world problems that contain fuzziness or interacting decision criteria. Moreover, due to a high level of expert involvement in the decision-making process, we claimed that the knowledge of experts has been utilised constructively.eng
dc.formatPDF
dc.format.extentp. 503-526
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyCentral & Eastern European Academic Source (CEEAS)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyBusiness Source Complete
dc.source.urihttp://dx.doi.org/10.3846/16111699.2016.1194315
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleUsing fuzzy choquet integral operator for supplier selection with environmental considerations
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references76
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionAllameh Tabataba’i University
dc.contributor.institutionIslamic Azad University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enSupplier selection
dc.subject.enSustainable supply chain
dc.subject.enGreen supply chain
dc.subject.enDelphi method
dc.subject.enIntuitionistic fuzzy value
dc.subject.enChoquet
dc.subject.enIntegral operator
dcterms.sourcetitleJournal of business economics and management
dc.description.issueiss. 4
dc.description.volumeVol. 17
dc.publisher.nameTechnika
dc.publisher.cityVilnius
dc.identifier.doi000380234100002
dc.identifier.doi2-s2.0-84978113402
dc.identifier.doi10.3846/16111699.2016.1194315
dc.identifier.elaba17121348


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