A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment

This paper develops a multi-objective mixed robust possibilistic flexible programming (MOMRPFP) approach for the sustainable dry port network design under uncertain environment. The optimal number, location, and capacity of dry ports, and the optimal number of containers transferred through dry ports are determined with minimizing the economic costs and environmental and social impacts. Finally, numerical analyses indicate that the total network cost decrease about 1.14% with the proposed approach. Moreover, the MOMRPFP approach improves the efficiency about the average computational time for large-sized networks with the presence of uncertainty in flexible objective functions and constraints as well as in data.