A New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company

dc.citation.spage353
dc.citation.volume11
dc.contributor.authorMatić, Bojan
dc.contributor.authorJovanović, Stanislav
dc.contributor.authorKumar Das, Dillip
dc.contributor.authorKazimieras Zavadskas, Edmundas
dc.contributor.authorStević, Željko
dc.contributor.authorSremac, Siniša
dc.contributor.authorMarinković, Milan
dc.date.accessioned2023-07-12T12:40:46Z
dc.date.available2023-07-12T12:40:46Z
dc.date.issued2019
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 r 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.
dc.identifier.doi10.3390/sym11030353
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/436
dc.language.isoen
dc.publisherMDPI
dc.sourceSymmetry
dc.subjectsustainability; supplier selection; construction; FUCOM; rough COPRAS; rough Dombi aggregator
dc.titleA New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company
dc.typeArticle
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