A Probabilistic and Explainable Machine Learning Approach for Adaptive Supply Chain Optimization under Disruptions
Today's supply chains are facing greater risks from fluctuating demand, transportation problems, geopolitical issues, and changing customer consumption habits. These dynamic uncertainties are often not considered by classic deterministic optimization algorithms, leading to suboptimal decisions and lack of operational r...