The operational decisions of crude oil scheduling activities taken on a daily basis have a strong influence upon the overall supply chain cost. The challenge is to create a crude oil schedule that minimizes the total cost, and at the same time is feasible considering a limited scheduling horizon. The use of mathematical programming for the oil industry has increasingly drawn attention. This study presents a mathematical programming model based on mixed integer linear programming (MILP) for the crude oil scheduling of a system connecting a terminal to a refinery. On the case studied, the transfer occurs through tankers that unload their crude oil on the São Francisco do Sul terminal, located at Santa Catarina state, going through the OSPAR pipeline until it reaches its final destiny – Araucaria refinery (REPAR), located at Paraná state. The main results of the model are the scheduling of ships at the terminal, the scheduling of the pipeline and stocks levels at the terminal and at the refinery. The main goal of this model is to minimize the cost involved in operation, meeting the refinery demand, oil supply, capacity constraints, and the maintenance of refinery crude oil stock levels. This formulation was applied to real scenarios, with time-horizon from a week to a month, and was effectively solved with the proposed solution approach.