Multi criteria decision making approaches for green supplier evaluation and selection: A literature review

Kannan Govindan*, Sivakumar Rajendran, Joseph Sarkis, P. Murugesan

*Corresponding author for this work

Research output: Contribution to journalReview ArticleScientificpeer-review

495 Citations (Scopus)

Abstract

A large and growing body of literature to supplier evaluation and selection exists. Literature on green supplier evaluation that considers environmental factors are relatively limited. Recently, in supply chain management decision making, approaches for evaluating green supplier performance have used both qualitative and quantitative environmental data. Given this evolving research field, the goal and purpose of this paper is to analyze research in international scientific journals and international conference proceedings that focus on green supplier selection. We propose the following questions that will be answered: (i) which selection approaches are commonly applied?, (ii) what environmental and other selection criteria for green supplier management are popular?, (iii) and what limitations exist? Published research from 1997 to 2011 is structurally reviewed based on the first two questions. We find that the applied techniques are mostly fuzzy based single model approaches. The most common criterion considered for green supplier selection was "environmental management systems". A further critical analysis is completed and gaps in the current literature are identified. These gaps help us to identify improvements for green supplier selection process and possible future directions.

Original languageEnglish
Peer-reviewed scientific journalJournal of Cleaner Production
Volume98
Issue numberJuly
Pages (from-to)66-83
Number of pages18
ISSN0959-6526
DOIs
Publication statusPublished - 01.07.2015
MoE publication typeA2 Review article in a scientific journal

Keywords

  • 512 Business and Management
  • Green supplier evaluation
  • Multi criteria decision
  • Green criteria
  • Supply chain management
  • Performance evaluation
  • Systematic literature review

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