Summary Princeton Consultants, a simulation consulting firm, serves a manufacturing client with a hard machine scheduling problem. Its optimizer had difficulty scheduling machines for new types of items that needed to be processed; it was not able...

Summary Eurystic, a supply chain optimization and simulation consultant, worked with Pathmind on a simplified AnyLogic model showing deep reinforcement learning could help a crane stacking packages in a warehouse and increase its throughput.  ...

Summary A global engineering firm worked with Pathmind to apply reinforcement learning to optimize energy use at a large metals processor and save 10% of what they spent on power. Challenge Some metals are produced by electrolysis, or running an...

Large organizations confront the dual challenge of delivering goods efficiently while minimizing pollution. To deliver the right goods on time, manufacturers, distributors, and fleets need to coordinate with each other, which requires information...