12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Green material selection for sustainability: A hybrid MCDM approach

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references86

          • Record: found
          • Abstract: not found
          • Article: not found

          A state-of the-art survey of TOPSIS applications

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Evaluation of clustering algorithms for financial risk analysis using MCDM methods

                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 May 2017
                2017
                : 12
                : 5
                : e0177578
                Affiliations
                [1 ]Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China
                [2 ]Transportation College, Jilin University, Changchun, China
                [3 ]College of Automotive Engineering, Jilin University, Changchun, China
                Southwest University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: HZ.

                • Data curation: PX.

                • Formal analysis: YP.

                • Funding acquisition: YP.

                • Investigation: DW PX.

                • Methodology: HZ.

                • Project administration: YP GT.

                • Resources: DW.

                • Software: GT.

                • Supervision: YP.

                • Validation: GT.

                • Visualization: YP DW.

                • Writing – original draft: HZ.

                Article
                PONE-D-16-44077
                10.1371/journal.pone.0177578
                5428959
                28498864
                8b9a4f8a-79e5-4973-a5b5-7940e17a5678
                © 2017 Zhang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 November 2016
                : 28 April 2017
                Page count
                Figures: 4, Tables: 9, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 51405517
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: U1334208
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 51405075
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004735, Natural Science Foundation of Hunan Province;
                Award ID: 2015JJ3155
                Award Recipient :
                This work was supported by the National Natural Science Foundation of China (No. 51405517, U1334208 and No. 51405075) and the Natural Science Foundation of Hunan (2015JJ3155).
                Categories
                Research Article
                Physical Sciences
                Physics
                Physical Properties
                Physical Sciences
                Materials Science
                Raw Materials
                Social Sciences
                Economics
                Experimental Economics
                Physical Sciences
                Mathematics
                Optimization
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Social Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Decision Making
                Ecology and Environmental Sciences
                Sustainability Science
                Engineering and Technology
                Physical Sciences
                Chemistry
                Chemical Compounds
                Carbon Dioxide
                Custom metadata
                All relevant data are within the paper.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article