New Decision Analytics for Planning Under Uncertainty

Freight transportation and supply chain management are full of decisions that are made over time under uncertainty, producing problems for which we do not have the kinds of tools we enjoy for optimization and machine learning. Explore the new modeling framework that can be used to automate decisions and understand how strategic decisions affect operations. Learn about the tools implemented for strategic and operational planning in truckload trucking and supply chain management using a software called CORE.ai backed by decades of research from Princeton University.