Journal
MATHEMATICS
Volume 8, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/math8122202
Keywords
green construction; supplier evaluation; MCDM; WASPAS; Fermatean fuzzy sets
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Funding
- European Regional Development Fund [01.2.2-LMT-K-718-01-0073]
- Research Council of Lithuania (LMTLT) [01.2.2-LMT-K-718-01-0073]
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The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of evaluation and selection of green suppliers. This process can be categorized as a multi-criteria decision-making (MCDM) problem. The aim of this study is to propose a novel and efficient methodology for evaluation of green construction suppliers with uncertain information. The framework of the proposed methodology is based on weighted aggregated sum product assessment (WASPAS) and the simple multi-attribute rating technique (SMART), and Fermatean fuzzy sets (FFSs) are used to deal with uncertainty of information. The methodology was applied to a green supplier evaluation and selection in the construction industry. Fifteen suppliers were chosen to be evaluated with respect to seven criteria including estimated cost, delivery efficiency, product flexibility, reputation and management level, eco-design, and green image pollution. Sensitivity and comparative analyses were also conducted to assess the efficiency and validity of the proposed methodology. The analyses showed that the results of the proposed methodology were stable and also congruent with those of some existing methods.
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