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  1. National Taiwan Ocean University Research Hub
  2. 海運暨管理學院
  3. 航運管理學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/24330
DC FieldValueLanguage
dc.contributor.authorTseng, Ming-Langen_US
dc.contributor.authorLim, Mingen_US
dc.contributor.authorWu, Kuo-Juien_US
dc.contributor.authorZhou, Lien_US
dc.contributor.authorBui, David Tat Daten_US
dc.date.accessioned2023-12-26T03:27:50Z-
dc.date.available2023-12-26T03:27:50Z-
dc.date.issued2018-01-
dc.identifier.issn09213449-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/24330-
dc.description.abstractThe existing literatures are lacking on the cost and benefit concerns, screening the measures and convergence of interval-valued triangular fuzzy numbers-grey relation analysis (IVTFN-GRA) weight together. Nonetheless, Green supply chain management is always suffering the linguistic preferences and system incomplete information in evaluation process to enhance the performance. Yet, those previous studies are merely based on un-converged weight results. Hence, this study proposed a hybrid method to dealing with this multi-criteria evaluation problem. Fuzzy Delphi method proposes to screen the evaluation criteria and converged IVTFN-GRA weight method handles the vagueness system uncertainty and incomplete information with interdependence relations. Hence, the proposed hybrid method enhanced the green supply chain management and compared multi-methods to enhance their performance in Taiwanese electronic focal firm. The result showed that the converged weight is consistent with the real practices, despite the differences with the current average weighting method. The finding in the long-term perspective: resilience and operational improvement are the top weighted aspects. (C) 2017 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofResources, Conservation and Recyclingen_US
dc.titleA novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysisen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/j.resconrec.2017.01.007-
dc.identifier.isiWOS:000417658500016-
dc.relation.journalvolume128en_US
dc.relation.pages122-133en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptDepartment of Shipping and Transportation Management-
crisitem.author.deptCollege of Maritime Science and Management-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Maritime Science and Management-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
Appears in Collections:航運管理學系
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