In this work is considered the development of hybrid decision support systems based on simulation, multi agent and expert modeling for transportations scheduling of the gas stations network. The paper is focused on description of various methods, used in decision support system BPsim.DSS. An intelligent scheduling system prototype, based on BPsim.DSS system, was developed. This system focuses on control and logistics departments activity automation. The following features are implemented: forecast of next day petroleum sale; optimal fuel shipping plan search; shipping scheduling for each gas-tank truck. Petroleum sale forecast is calculated within a BPsim.MAS simulation model. Search and planning capabilities are implemented with SQL scripts generating tools and UML methodology-based conceptual models, included in BPsim.MSN. Monitoring tests allowed effective logistics solutions be developed and deployed. Fuel sale volumes were raised without additional investments, which allowed a more effective use of fuel-tank trucks.