-of-the-art multi-echelon inventory optimization models, such as the guaranteed-service approach, are non-linear and depend on …-parametric and distribution-free approach for safety stock planning in multi-echelon inventory networks that utilizes historical … demand and feature data. We extend data-driven optimization in inventory control from newsvendor models to multi-period and …

We propose a distributionally robust inventory model for finding an optimal ordering policy that attains the minimum … are prevalent in the robust inventory literature and have drawn renewed attention because of the Covid-19 vaccine … procurement. The proposed distributionally robust inventory model provably reduces to a finite conic optimization problem with …

demand, the retailer replenishes with an adaptive order-up-to inventory policy satisfying a pre-specified fill rate. We …

in practice: vendor-managed inventory (VMI) and retailer-managed inventory (RMI). Specifically for the two-buyer problem … information of the buyers (e.g., inventory/logistic costs) but only their market information (e.g., demand). Numerical results …

investment and inventory procurement. Newsvendor networks can feature commonality, flexibility, substitution or transshipment in … revenue and cost structures and a linear input-output transformation. While capacity and inventory decisions are locked in … discre- tionary flexibility to meet stochastic demand deviations from the operating point. The optimal capacity and inventory …