A model-experience-driven method for the planning of refined product primary logistics

•Propose a model-experience-driven method for logistics planning of refined products.•Alleviate supply–demand imbalance by supply adjustment and secondary delivery.•Use convex function interpolation to learn the coordinator’s preference for schemes.•Apply ɛ-constraint method to balance economic and satisfaction indicators.•Give cases of two scales to demonstrate the method’s rationality and practicality.