Identification and Ranking Green Supplier Selection Criteria Using One-Sample T-Test and FANP Methods: A Case Study for Petrochemical Industry

Increasing global notices in environmental protection, green supply chain management (GSCM) has received much attention by researchers and managers more than the past. Commonly, firms have considered cost criteria to select their suppliers. Despite the fact that there are various papers considering the formal criteria in supplier selection, there is a few limited numbers considering the environmental issues. This study will use both traditional and environmental criteria and will offer a combined approach to identify and ranking of the criteria for green supplier selection in petrochemical industry. The One-SampleT-Test is to be used to identify the appropriate criteria, using the Pareto principle the relationships between the criteriaareobtainedand the Fuzzy Analytic Network Process (FANP) is to be used to calculateweights of green supplier selection’s criteriaconsidering the criteria interdependencies in petrochemical industry. Also, triangular fuzzy numbers are used to express linguistic values of experts’ subjective preference in ANP stage.

Identification and Ranking Green Supplier Selection Criteria Using One-Sample T-Test and FANP Methods: A Case Study for Petrochemical Industry Keywords:

Green Supply Chain Management , Petrochemical industry , One-SampleT-Test , Analytic Network Process