Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach


Creative Commons License

TUZKAYA G., ÖZGEN A., ÖZGEN D., TUZKAYA U. R.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol.6, no.3, pp.477-490, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 6 Issue: 3
  • Publication Date: 2009
  • Doi Number: 10.1007/bf03326087
  • Journal Name: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.477-490
  • Keywords: Decision-making, Environmental criteria, Fuzzy sets, Green supply chain, ANALYTIC NETWORK PROCESS, EXTENT ANALYSIS METHOD, PROMETHEE METHOD, SELECTION, AHP, MODEL, CRITERIA, RANKING, DESIGN, MANAGEMENT
  • Yıldız Technical University Affiliated: Yes

Abstract

Increasing environmental problems enforce companies to be more environmental responsible. A company's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image. As a stakeholder of the company, a supplier with bad environmental image affects badly the company's environmental image. Also, raw materials and semi-finished products supplied from out of the company recourses-suppliers-affects the products environmental features such as life cycle, re-usability, re-manufacturability, hazardous substances, etc. Considering these direct and indirect effects, managers should also consider environmental performances of their suppliers in their supplier evaluation process. In this paper, a methodology for the evaluation of suppliers' environmental performances is proposed. In this methodology, a hybrid Fuzzy-Analytic Network Process and Fuzzy-Preference Ranking Organization METHod for Enrichment Evaluations approach is utilized. Additionally, a numerical example is given to foster the better understanding of the methodology and the obtained results are analyzed with sensitivity analyses.