We study a stochastic inventory risk pooling problem, in which the objective is to minimize the risk that the remaining inventory and the unsatisfied demand exceed the pre-specified acceptable levels. We use the robustness optimization framework to model this problem, in which the decision maker...

We study an uncertain inventory routing problem with a finite horizon. The supplier acts as a central planner who determines replenishment quantities and also the times and routes for delivery to all retailers. We allow ambiguity in the probability distribution of each retailer's uncertain...