Supply chain optimization tools need to be robust and capable of managing product flows across multiple types of locations in a network. Multi-echelon inventory optimization can be a challenge for optimizers and baseline heuristics and supply chain...

Load-balancing problems like those faced in call center networks can be difficult to solve.  Answering calls quickly is crucial to efficient operations, however, and long wait times can result in poor customer satisfaction. When large volumes of...

Supply chain managers face a unique set of problems when it comes to optimizing inventory. Customers want their orders delivered quickly, but too much inventory in stock leads to high costs. If you factor in changing demand, backlogged orders, and...

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...