Farzaneh Bakhtiari - MSc student in Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran,Iran;
Mohammad Mousazadeh - Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran

The unorganized structure and uncertain demand in traditional agri-fresh food supply chain (AFSC) cause low profits for farmers and high wastage of agricultural produce. Because of this, this paper formulates a mixed integer multi-transportation nonlinear programming model to design four levels of the supply chain under uncertain conditions. The results obtained from this model under uncertain conditions compared with the results of this model under certain conditions. In addition, this model solved in the state of uncertainty with two fuzzy and robust methods with three possibilities, necessity and credibility measures and a comparison of results is provided.

Agricultural Fresh Food Supply Chain (AFSC), robust-possibilistic programming, Sustainability, Fuzzy programming, Robust optimization, Improved augmented epsilon constraint;