Nilay Noyan

TL;DR: A two-stage stochastic programming model is developed that incorporates the hybrid allocation policy and achieves high levels of accessibility and equity simultaneously and is illustrated on a case study based on real-world data from the 2011 Van earthquake in Turkey.

TL;DR: In this paper, a risk-averse stochastic modeling approach for a pre-disaster relief network design problem under uncertain demand and transportation capacities is introduced, where the sizes and locations of the response facilities and the inventory levels of relief supplies at each facility are determined while guaranteeing a certain level of network reliability.

TL;DR: A chance-constrained two-stage mean-risk stochastic programming model, where the conditional value-at-risk (CVaR) is specified as the risk measure, and enforces a joint probabilistic constraint on the feasibility of the second-stage problem concerned with distributing the relief supplies to the affected areas in case of a disaster.

TL;DR: In this paper, the gate assignment problem under uncertainty in flight arrival and departure times is considered and stochastic programming models incorporating robustness measures based on the number of conflicting flights, idle and buffer times are proposed.