PMID- 28498864
OWN - NLM
STAT- MEDLINE
DCOM- 20170907
LR  - 20181113
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 12
IP  - 5
DP  - 2017
TI  - Green material selection for sustainability: A hybrid MCDM approach.
PG  - e0177578
LID - 10.1371/journal.pone.0177578 [doi]
LID - e0177578
AB  - 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.
FAU - Zhang, Honghao
AU  - Zhang H
AD  - Key Laboratory of Traffic Safety on Track of Ministry of Education, School of 
      Traffic and Transportation Engineering, Central South University, Changsha, 
      China.
FAU - Peng, Yong
AU  - Peng Y
AD  - Key Laboratory of Traffic Safety on Track of Ministry of Education, School of 
      Traffic and Transportation Engineering, Central South University, Changsha, 
      China.
FAU - Tian, Guangdong
AU  - Tian G
AD  - Transportation College, Jilin University, Changchun, China.
FAU - Wang, Danqi
AU  - Wang D
AD  - College of Automotive Engineering, Jilin University, Changchun, China.
FAU - Xie, Pengpeng
AU  - Xie P
AD  - Key Laboratory of Traffic Safety on Track of Ministry of Education, School of 
      Traffic and Transportation Engineering, Central South University, Changsha, 
      China.
LA  - eng
PT  - Journal Article
DEP - 20170512
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Decision Making
MH  - *Decision Support Techniques
MH  - *Models, Theoretical
MH  - Waste Management
PMC - PMC5428959
COIS- Competing Interests: The authors have declared that no competing interests exist.
EDAT- 2017/05/13 06:00
MHDA- 2017/09/08 06:00
PMCR- 2017/05/12
CRDT- 2017/05/13 06:00
PHST- 2016/11/05 00:00 [received]
PHST- 2017/04/28 00:00 [accepted]
PHST- 2017/05/13 06:00 [entrez]
PHST- 2017/05/13 06:00 [pubmed]
PHST- 2017/09/08 06:00 [medline]
PHST- 2017/05/12 00:00 [pmc-release]
AID - PONE-D-16-44077 [pii]
AID - 10.1371/journal.pone.0177578 [doi]
PST - epublish
SO  - PLoS One. 2017 May 12;12(5):e0177578. doi: 10.1371/journal.pone.0177578. 
      eCollection 2017.