Abstract: The optimization of oil depot inventory is focused in most of the previous researches on the optimization of refined oil logistics, but the reasonable choice of transportation mode and the influence of batch transportation on pipeline transport plan are not considered during decision-making. On this basis, an optimization model of refined oil logistics was constructed under the premise of satisfying the demand of oil products at the oil depot, establishing the objective function of minimizing overall transportation cost and considering the constraints of oil depot demand, storage capacity and transportation capacity. Meanwhile, a pipeline scheduling optimization model was also constructed by setting up the objective function of minimizing the sum of deviations between the actual delivery volume of oils and the demand of the delivery stations along the pipeline, with consideration to the constraints of batch tracking, batch delivery and node flow. Finally, a refined oil logistics plan satisfying the transportation capacity of pipeline was obtained by coupling the above two models into an optimization model of refined oil logistics, considering the pipeline-rail combined transportation, and iteratively solving the logistics plan and pipeline scheduling plan. Specifically, the constructed model was applied to the formulation of a regional logistics plan for refined oil. The optimization results show that the pipeline transportation volume is improved, the mileage of railway transportation is shortened, and the overall logistics cost is reduced by 4.18% compared with the site plan. The research results have some guiding significance for the refined oil marketing enterprises to develop a reasonable logistics plan.