Neuroevolutionary reinforcement learning : an agent-based solution for multi-echelon inventory control
Managing replenishment across multi-echelon inventory systems is challenging due to stochastic demand and inter-echelon dependencies, forcing a trade-off between holding costs and stockout penalties. This research addresses this within a Linear Multi-Echelon Inventory System (LMEIS) and a Divergent Multi-Echelon Invent...