Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning. (arXiv:2201.04651v1 [cs.LG])

We address the problem of production planning and distribution in
multi-echelon supply chains. We consider uncertain demands and lead times which
makes the problem stochastic and non-linear. A Markov Decision Process
formulation and a Non-linear Programming model are presented. As a sequential
decision-making problem, Deep Reinforcement Learning (RL) is a possible
solution approach. This type of technique has gained a lot of attention from
Artificial Intelligence and Optimization communities in recent years.
Considering the good results obtained with Deep RL …

arxiv learning reinforcement learning supply chains uncertain