In this meetup, we used the infamous Beer Distribution Game as a starting point to exploring and redesigning supply chains. After discussing the dynamics underlying the game and what this means for supply chains, we analyzed a robust playing strategy and then took a look at how to train AI to play the game using reinforcement learning.
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You can find the code for the simulation models and machine learning algorithms along with explanatory Jupyter notebooks on our GitHub repository.
If you missed the event, you can watch a live recording here:
Understanding The Beer Distribution Game provides an in-depth analysis of the beer game and of how to find the right ordering strategy.
Training Artificial Intelligence to Play The Beer Distribution Game first introduces an Agent-based simulation of the Beer Game and then uses reinforcement learning to train the agents to play the game.