Luis Fernández-Palacios

Beyond recency and magnitude: Learning-aware uncertainty estimation for safety stock under evolving forecast-error distributions

We develop a non-parametric approach to refine forecast-error histories for safety stock estimation without relying on error magnitude or recency alone. Using forecast-error data from a fast-moving consumer goods environment, we show that one year of errors is insufficient to characterize service-level risk, while pool...