Operation and Maintenance (O&M) costs are an important factor in the total Life Cycle Cost (LCC) of energy systems. A good O&M optimization strategy needs to keep many pieces of equipment running efficiently while balancing operational...

Factories and manufacturing centers rely on automated guided vehicles (AGVs) to move materials from one place to another with limited human oversight. These vehicles are a valuable asset for increasing productivity while freeing up workers to focus...

When you operate a fulfillment center, you face a daily optimization challenge because of the sheer quantity and variety of products moving in and out.  The team at Accenture Applied Intelligence simulated a fulfillment center to find the best way...

Optimizing product deliveries within supply chain networks can present a unique set of challenges. Factors such as travel distance and order wait times need to be taken into consideration while keeping profits high. When many manufacturing centers...

Summary Engineering Group, a global engineering firm and technology consultancy with a strong practice in simulation, worked with Pathmind to apply reinforcement learning to intelligently route heavy industrial parts over a complex assembly line in...

Summary Engineering Group, a global engineering firm and technology consultancy with a strong practice in simulation, worked with Pathmind to apply reinforcement learning to maximize factory output by making smarter decisions about order...

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 simulation consultancy worked with Pathmind to apply reinforcement learning to intelligently re-route haul trucks at an open-pit mining site. The mining optimization project discovered a solution that resulted in a 19% increase in ore...

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...