Smart supply chain management with reinforcement learning at Dow

Dow is doubling down on its digitization efforts, leveraging machine learning, advanced modeling techniques, robotics, and more to improve supply chain management and decision-making. Adam Kelloway's team at Dow's Digital Fulfillment Center is driving the development of reinforcement learning and mixed integer programming-based agents to enhance customer satisfaction, financial performance, and shareholder value. The AlphaDow project uses reinforcement learning-based agents for production scheduling on Azure compute clusters, overcoming challenges such as in-house design variables and deployment issues with the help of Ray libraries and capabilities. Through Adam's talk at the Production RL Summit, his team shares their experience and insights on how they turned AlphaDow into a viable solution that got the company onboard with the possibilities of reinforcement learning and machine learning.

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