In this work hybrid method of supply chain scheduling of petrol stations networks is developed. Requirements for method of supply chain scheduling of petrol stations networks are determined. Limitations of transport task application are detected for subject area of petrol logistic. The automation level of petrol stations networks is marked. The task of new hybrid method of supply chain scheduling of petrol stations networks was solved. New method based on transport task, multi agent approach, simulation, expert systems. Experimental analysis of two multi agent approach as multi agent resources conversion processes and need-and-Means networks was done. The proposed approach is implemented in integration enterprise information system, multi agent simulation system BPsim.MAS and decision support systems BPsim.DSS. BPsim.DSS – frame expert system.