Nowadays flight scheduling is very important for profitability, but it has a complex problem when compiled traditionally. This study develops an integrated model for scheduling passenger and cargo scheduling simultaneously aiming to maximize profits. Network flow techniques are used to build the model, includes a low flow, the flow of passengers and goods flow. The model is formulated using integer commodity network flow with the characteristics of NP-Hard. Because of the problems predicted a very large, this model is more difficult to solve than the problem of scheduling traditional airlines or cargo. This model is able to directly manage the relationship between passengers and cargo and is expected to be a useful planning tool to determine the appropriate fleet and schedule in the short-term operations