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In this paper,a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented.To deal with the uncertainty,the conditional value-at-risk(CVAR)analysis is adopted as a risk measure.Firstly an improved scheduling approach is proposed to model the multi-pipeline system with the consideration of different pipeline segment sizes.The improved formulation is computationally intractable when pipeline segments have distinct capacities.Then the model takes a scenario-based approach to cope with uncertainty in a CVAR framework.Computational results are presented to demonstrate the effectiveness of the proposed approach.All the instances are implemented using CPLEX.