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dc.creatorKefer, Petar
dc.creatorMilanović, Dragan
dc.creatorMisita, Mirjana
dc.creatorŽunjić, Aleksandar
dc.date.accessioned2022-09-19T17:52:42Z
dc.date.available2022-09-19T17:52:42Z
dc.date.issued2016
dc.identifier.issn1024-123X
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/2308
dc.description.abstractThe determination of the optimal purchasing strategy in enterprise that is a part of global supply chain could be performed in two steps. In step one, a classification of potential suppliers is performed in order to determine the optimal portfolio of suppliers. This is delivered by using the fuzzy multicriteria proposed ABC classification method. Uncertainties in relative importance of criteria and their values are described by linguistic expressions. Modelling of linguistic expressions is based on the fuzzy sets theory. In the second step, ranking of optimal portfolio of suppliers is performed by using the modified ELECTRE method. The obtained results represent valuable input for determining the long time purchasing strategy and building partnership with the best suppliers. The developed two-step model is verified on real life data. The obtained results indicate good compliance with the opinions management in this type of industry. It is worth to mention that the proposed model can be easily extended and adopted to the analysis of other issues of management which could be applicable in different research areas.en
dc.publisherHindawi Ltd, London
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceMathematical Problems in Engineering
dc.titleFuzzy Multicriteria ABC Supplier Classification in Global Supply Chainen
dc.typearticle
dc.rights.licenseBY
dc.citation.other2016: -
dc.citation.rankM23
dc.citation.volume2016
dc.identifier.doi10.1155/2016/9139483
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1060/2305.pdf
dc.identifier.scopus2-s2.0-84988958989
dc.identifier.wos000383456600001
dc.type.versionpublishedVersion


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