Green material selection for sustainability: A hybrid MCDM approachReport as inadecuate

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Green material selection is a crucial step for the material industry to comprehensively improve material properties and promote sustainable development. However, because of the subjectivity and conflicting evaluation criteria in its process, green material selection, as a multi-criteria decision making MCDM problem, has been a widespread concern to the relevant experts. Thus, this study proposes a hybrid MCDM approach that combines decision making and evaluation laboratory DEMATEL, analytical network process ANP, grey relational analysis GRA and technique for order performance by similarity to ideal solution TOPSIS to select the optimal green material for sustainability based on the product-s needs. A nonlinear programming model with constraints was proposed to obtain the integrated closeness index. Subsequently, an empirical application of rubbish bins was used to illustrate the proposed method. In addition, a sensitivity analysis and a comparison with existing methods were employed to validate the accuracy and stability of the obtained final results. We found that this method provides a more accurate and effective decision support tool for alternative evaluation or strategy selection.

Author: Honghao Zhang, Yong Peng , Guangdong Tian , Danqi Wang, Pengpeng Xie



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