Presentation on improved Replenishment policies using Machine Learning at the IFORS Conference

Daniel Müllerklein gave a presentation at the IFORS Conference in Santiago, Chile

Last week, Daniel Müllerklein gave a presentation on “A supervised machine learning approach for replenishment policy decisions under transportation disruption uncertainty” at the IFORS Conference in Santiago, Chile. At one of the largest conferences on Operations research, researchers from around the world discussed recent results in the field of, e.g., operations research and machine learning and their applications.