Train Planning is of great importance for the transportation of general carload in railroad. The planning must contemplate which trains should run, their frequencies, which routes will be served and the cars that will compose each train. In this dissertation, a mixed integer programming model is proposed to optimize the planning of general carloads trains, seeking to minimize the costs involved in the creation and operation of the trains. The model was applied to a Brazilian freight railway in the planning of 12 periods. The model was run with an average processing time of 15 hours, a time considered acceptable because it deals with a tactical problem that defines the trains of the next planning period. When compared to the actual data, the model generated an average reduction of 10.1 per cent in the costs of operating the trains. The proposed planning generated a better use of the wagon connections to avoid the creation of trains with low occupancy, thus reducing costs. The results also provided railroad train planners with greater speed in the analyzes, which today are carried out manually, allowing a better view of which trains should be created for the demand profiles of each period.