Show simple item record

dc.contributor.authorZarbakhshnia, N
dc.contributor.authorWu, Y
dc.contributor.authorGovindan, K
dc.contributor.authorSoleimani, H
dc.date.accessioned2019-10-09T23:37:20Z
dc.date.available2019-10-09T23:37:20Z
dc.date.issued2020
dc.identifier.issn0959-6526
dc.identifier.doi10.1016/j.jclepro.2019.118461
dc.identifier.urihttp://hdl.handle.net/10072/388136
dc.description.abstractIn this paper, we propose a novel hybrid multiple attribute decision-making (MADM) approach, which includes fuzzy analytic hierarchy process (fuzzy AHP) and gray multi-objective optimization by ratio analysis (MOORA-G). By using fuzzy and gray numbers, we successfully deal with the qualitative and uncertain inputs that often arise from real-world decision-making process. We adopt this hybrid approach to take the advantages offered by both methods, and designate the former for weighting the considered criteria, and the latter for ranking the alternatives. To demonstrate the performance of the proposed hybrid approach, we apply it to a case study on the selection of third-party reverse logistics providers (3PRLPs) for a car parts manufacturing company and benchmark it with the MOORA method. The outcome of this study indicates that our proposed approach can offer more viable performance when facing qualitative data and input uncertainties, and consequently, lends itself to a wider range of applications.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofpagefrom118461: 1
dc.relation.ispartofpageto118461: 16
dc.relation.ispartofjournalJournal of Cleaner Production
dc.relation.ispartofvolume242
dc.subject.fieldofresearchEnvironmental engineering
dc.subject.fieldofresearchManufacturing engineering
dc.subject.fieldofresearchOther engineering
dc.subject.fieldofresearchcode4011
dc.subject.fieldofresearchcode4014
dc.subject.fieldofresearchcode4099
dc.titleA novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationZarbakhshnia, N; Wu, Y; Govindan, K; Soleimani, H, A novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics, Journal of Cleaner Production, 2020, 242, pp. 118461: 1-118461: 16
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated2019-10-08T04:47:29Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2020 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorWu, Yong


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record