A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives

Xiaojun Wang, Hing Kai Chan

Research output: Journal PublicationArticlepeer-review

100 Citations (Scopus)

Abstract

Implementing green supply chain management (GSCM) initiatives can generate more business opportunities for firms. It also requires changes in firms operational capabilities and resources that may have an adverse effect on firms operations performance. In order to achieve sustainable economic and environmental performance, it is essential for companies to evaluate different green initiatives and assess improvement areas when implementing green initiatives. This study proposes a fuzzy hierarchical TOPSIS approach to support such an assessment. It enables decision makers to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support tool. An illustrative case is presented to help researchers and practitioners understand the importance of developing an appropriate organisation strategy in implementing green practices.

Original languageEnglish
Pages (from-to)3117-3130
Number of pages14
JournalInternational Journal of Production Research
Volume51
Issue number10
DOIs
Publication statusPublished - 1 May 2013
Externally publishedYes

Keywords

  • AHP
  • Fuzzy set theory
  • Green initiative
  • Green supply chain management
  • TOPSIS

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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