This research presents a fast heuristic method for solving large-scale real-life Stock Rebalancing problems with minimum transfer constraints on the arcs, as well as a maximum supply and demand limitation on the nodes, which can be considered as a variation of the multi-commodity network design...

Machine learning has shown great potential in various domains, but its appearance in inventory control optimization settings remains rather limited. We propose a novel inventory cost minimization framework that exploits advanced decision-tree based models to approximate inventory performance at...