Evaluation of the green supply chain management practices: a fuzzy ANP approach


PRODUCTION PLANNING & CONTROL, vol.23, no.6, pp.405-418, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 6
  • Publication Date: 2012
  • Doi Number: 10.1080/09537287.2011.561814
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.405-418
  • Keywords: analytic network process, Ford Otosan, fuzzy logic, green supply chain management, strategic decision making, ANALYTIC NETWORK PROCESS, ENVIRONMENTAL INNOVATION, PERFORMANCE EVALUATION, SELECTION, MODEL, TRANSPORTATION, FRAMEWORK, CRITERIA, PROJECT, OPTIMIZATION
  • Galatasaray University Affiliated: Yes


Environmentally responsible manufacturing, green supply chain management (GSCM), and related principles have become important strategies for companies to achieve profit and gain market share by lowering their environmental impacts and increasing their efficiency. As environment has become a key strategic consideration in supply chains, this study examines the components and elements of GSCM and suggests a novel GSCM evaluation framework. It also provides a real-case study of Ford Otosan, one of the pioneering companies about environmental subjects in Turkey, to illustrate the industrial application of our theoretical assessment model. The identified components are integrated into a strategic assessment and evaluation tool using analytical network process (ANP). The dynamic characteristics and complexity of the GSCM analysis environment make the ANP technique a suitable tool for this study. Moreover, to cope with ambiguity and vagueness of the decision maker's evaluations, the fuzzy extension of the ANP method is preferred.