Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks. (arXiv:2311.00983v1 [cs.LG])

Inventory Routing Problem (IRP) is a crucial challenge in supply chain
management as it involves optimizing efficient route selection while
considering the uncertainty of inventory demand planning. To solve IRPs,
usually a two-stage approach is employed, where demand is predicted using
machine learning techniques first, and then an optimization algorithm is used
to minimize routing costs. Our experiment shows machine learning models fall
short of achieving perfect accuracy because inventory levels are influenced by
the dynamic business environment, which, in …

arxiv challenge decision demand inventory machine machine learning machine learning techniques management networks neural networks planning route routing solve stage supply chain uncertainty