Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company

Devika Kannan, Ana Beatriz Lopes de Sousa Jabbour, Charbel José Chiappetta Jabbour

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400 Citations (Scopus)


Due to an increased awareness and significant environmental pressures from various stakeholders, companies have begun to realize the significance of incorporating green practices into their daily activities. This paper proposes a framework using Fuzzy TOPSIS to select green suppliers for a Brazilian electronics company; our framework is built on the criteria of green supply chain management (GSCM) practices. An empirical analysis is made, and the data are collected from a set of 12 available suppliers. We use a fuzzy TOPSIS approach to rank the suppliers, and the results of the proposed framework are compared with the ranks obtained by both the geometric mean and the graded mean methods of fuzzy TOPSIS methodology. Then a Spearman rank correlation coefficient is used to find the statistical difference between the ranks obtained by the three methods. Finally, a sensitivity analysis has been performed to examine the influence of the preferences given by the decision makers for the chosen GSCM practices on the selection of green suppliers. Results indicate that the four dominant criteria are Commitment of senior management to GSCM; Product designs that reduce, reuse, recycle, or reclaim materials, components, or energy; Compliance with legal environmental requirements and auditing programs; and Product designs that avoid or reduce toxic or hazardous material use.
Original languageEnglish
Pages (from-to)432-447
JournalEuropean Journal of Operational Research
Issue number2
Early online date27 Jul 2013
Publication statusPublished - 1 Mar 2014


  • green supply chain management (GSCM)
  • green supplier selection
  • fuzzy set theory
  • triangular fuzzy number

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  • Highly cited paper

    Ana Beatriz Lopes de Sousa Jabbour (Recipient), May 2016

    Prize: Other distinction

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