Explore a 29-minute talk on using Ray for distributed mixed integer optimization at Dow. Discover how Dow tackled the complex production schedule design process by formulating it as a large mixed integer linear program (MILP) optimization. Learn about the innovative multi-agent decomposition approach that splits the problem into two separate hierarchical agents, significantly reducing solution time. Understand how Ray helped the team achieve faster problem-solving, enabling quicker scenario comparisons and decision-making for the business. Gain insights into the generalization of this solution method and its potential applications in various MILP use cases. Delve into the world of computational optimization and see how Ray is revolutionizing complex problem-solving in industrial settings.