چكيده به لاتين
According to the marine logistics high level of importance, as well as the significant role of ports and hinterland, port-hinterland distribution network along with various parameters affecting it, has come under the spot of attention in the recent years. This Research, considering intermodal transport, along with the probability of constructing new inland terminals where transportation mode change happens, aims to investigate the subject of port-hinterland freight distribution network. To this aim, considering the volume of exported freight being delivered as well as imported freight received, a multi-objective intermodal model has been developed for Iran's case study. In order to deliver the imported goods into the country, the model first determine how much goods could be imported to each seaport, then, decides how and by which transportation mode (rail or road), based on the demand of each node (individual provinces), freights should be sent from seaports to provinces. On the route of goods transportation from one province to another, if there was a need to change the mode, an inland terminal shall be constructed. Regarding the matter of export goods, the model, based on the export volume of each province and transportation mode (rail or road), decides as well how to collect the goods from each province and send them to the destination ports. Same as the import goods, if there was a need to change the mode, on the way of export goods transportation, an inland terminal shall be constructed. Eventually, the amount of goods allowed to be imported in each seaport would be determined. In this model, it has been assumed that in addition to the existing railway and road routes in the country, new railway and road routes could be constructed as well. This model seeks to minimize two objective functions at the same time. The first objective function involves minimizing the cost of transportation (for both import and export) along with the cost of constructing an inland terminal. The second objective function involves minimizing CO_2 released during freight transport. Here, the certain model of the problem has been described, first; then, the uncertainty conditions in amounts of import demand and export supply, in each province has been taken into account. To address these uncertainties, a robust modeling approach has been used. Therefore, data of goods imported or exported to/from Iran were collected and solved using robust model in GAMS software; then the results were analyzed and investigated.
