A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis

M.-L. Tseng, Ming Lim, K.-J. Wu, L. Zhou, D. Tat Dat Bui

Research output: Research - peer-reviewArticle

  • 6 Citations

Abstract

The 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.

LanguageEnglish
Pages122-133
JournalResources, Conservation and Recycling
Volume128
Early online date31 Jan 2017
DOIs
StatePublished - Jan 2018

Fingerprint

Triangular fuzzy number
Grey relation analysis
Green supply chain management
supply chain management
method
analysis
information system
cost
Incomplete information
evaluation criterion
Evaluation
Vagueness
Weighting
Uncertainty
Multi-criteria evaluation
Costs and benefits
Screening
Resilience
Interdependence
Delphi method

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Resources, Conservation and Recycling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Resources, Conservation and Recycling, [128, (2017)] DOI: 10.1016/j.resconrec.2017.01.007 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Converged interval-valued triangular fuzzy numbers-grey relation analysis
  • Green supply chain management

Cite this

A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis. / Tseng, M.-L.; Lim, Ming; Wu, K.-J.; Zhou, L.; Tat Dat Bui, D.

In: Resources, Conservation and Recycling, Vol. 128, 01.2018, p. 122-133.

Research output: Research - peer-reviewArticle

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