Prioritizing Sustainable Denim Fabric through Integrated Decision-Making Framework
- PMID: 38998371
- PMCID: PMC11243534
- DOI: 10.3390/ma17133291
Prioritizing Sustainable Denim Fabric through Integrated Decision-Making Framework
Abstract
In this study, a combined multi-criteria decision-making (MCDM) approach that integrates the logarithm methodology of additive weights (LMAW) and the double normalization-based multiple aggregation (DNMA) methods has been utilized to determine the optimal fabric structures considering the performance characteristics of denim fabrics containing recycled cotton. This approach focuses on sustainability and performance criteria, applying advanced decision-making methodologies to provide in-depth analysis and guidance for denim fabric selection. In this research, 15 distinct criteria were taken into account. Alternatives were ranked based on outcomes obtained from these methods. Although it was not anticipated that the top-ranked alternatives would simultaneously fulfill the beneficial or non-beneficial orientation of all criteria, an examination of the top three alternatives (A12, A5, and A15) for both garment groups revealed that they indeed aligned with the pre-determined criterion orientation. This highlights the effectiveness of the multi-criteria decision-making approach in the context of this study.
Keywords: DNMA; LMAW; MCDM; denim fabric; recycled cotton.
Conflict of interest statement
Author Gizem Özdemir was employed by the company Uniteks R&D Center. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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