Amir Fatehi Kivi - Ph. D. Candidate, Department of industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran
Esmaeil Najafi - Assistant Professor, Department of industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran
Hossein Alipour - Assistant Professor, Department of industrial Engineering, Khalkhal Branch, Islamic Azad University, Khalkhal, Iran
Esmaeil Mehdizadeh - Assistant Professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

More and more practitioners and scholars have paid much attention in sustainable supply chain management in recent year. Selecting the best suppliers is a significant yet complex decision which requires careful consideration of various performance criteria. Hence, supplier selection is an important issue and has a strategic significance for every company. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In many real-world applications, data are often stochastic. Inthis paper, we developa fuzzy ranking method based on Wu et al. (2010) method for complete ranking of decision making units.A case study from Azadi et al. (2012) is presented to exhibit the efficacy of the proposed method for sustainable supplier selection problem in a resin production company.

data envelopment analysis, Sustainable supply chain management, Fuzzy theory