Green material selection for sustainability: A hybrid MCDM approach

被引:76
作者
Zhang, Honghao [1 ]
Peng, Yong [1 ]
Tian, Guangdong [2 ]
Wang, Danqi [3 ]
Xie, Pengpeng [1 ]
机构
[1] Cent S Univ, Sch Traff & Transportat Engn, Key Lab Traff Safety Track, Minist Educ, Changsha, Hunan, Peoples R China
[2] Jilin Univ, Transportat Coll, Changchun, Peoples R China
[3] Jilin Univ, Coll Automot Engn, Changchun, Peoples R China
基金
中国国家自然科学基金;
关键词
DECISION-MAKING METHODOLOGY; MODEL COMBINING DANP; VIKOR METHOD; CONSTRUCTION-INDUSTRY; RELATIONAL ANALYSIS; COMPROMISE RANKING; OPTIMIZATION MODEL; MULTIPLE CRITERIA; FUZZY VIKOR; AHP;
D O I
10.1371/journal.pone.0177578
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:26
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