A chance-constrained two-stage stochastic programming model for humanitarian relief network design

•Introduce a new risk-averse stochastic pre-disaster relief network design problem.•Develop a novel chance-constrained two-stage stochastic programming model.•Hybrid stochastic approach with qualitative and quantitative aspects of risk.•A flexible approach to model preferences based on multiple stochastic criteria.•Develop an effective exact Benders decomposition-based branch-and-cut algorithm.