چكيده به لاتين
Dry ports play a crucial role as Inland transportation terminal in marine transport chain so that they undertake the seaport workload and reduce respective costs. In this thesis, it is tried to provide a two-phase GIS-optimization model for investigating the location of these ports. In the first phase, a novel heuristic method called Two-Factor Geometric (TFG) method is presented to determine appropriate seaports, and then the potential points to establish the dry ports are specified by the geographical information systems (in which Best-Worst and AHP method are used) and also by monitoring the road traffic flow. Afterwards, in the second phase the information obtained from the first phase consisting seaports selected and dry port potential points is used and presented to mathematical model as input data (parameters). Regarding designed network and its assumptions, a multi-objective mathematical model is proposed by considering dynamic service portfolio, and the model is developed to cope with uncertainty in parameters of the problem by using its counterpart robust. It is worthy to note that for investigating the present multi-objective model a new method called Modified-TH is applied to the model. Finally, to observe the performance of the proposed model, the problem is solved by GAMS optimization software using CPLEX solver for the case study of Iran. The results of the developed model show that establishing the dry port leads to saving costs, reducing variable environmental effects of the seaport, improving customer responsiveness of ports, and thus increasing the competitiveness.
