Providing an Empty Container Repositioning Model under Uncertainty based on Risk Pooling Effect

Increasing the growth rate of container transportation industry in recent decades and predicting the continuation of this growth over the years will highlight the importance of container transport and the key role of containers in maritime transportation. With entering container into transportation area, this area has experienced a huge change. However, the imbalance problem between the input and output containers exists in ports until now. This imbalance between import and export of goods has created a problem called Empty Container. in this paper, investigated the empty containers repositioning problem under Uncertainty. A robust scenario-based approach to risk pooling effect has been used to model the failure of some of the problem parameters under different scenarios. Finally, the computational results indicate the proper performance of the proposed model under uncertainty conditions and the importance of using a robust approach to solving the problem of empty containers repositioning under uncertain conditions.