Pathmind's AI & Simulation Blog
Company news, product updates, and industry insights into reinforcement learning, simulations, and decision support systems.
Join Pathmind and Engineering USA at INFORMS Business Analytics Conference 2021
Pathmind is partnering with Engineering USA at the 2021 INFORMS Business Analytics Conference. The virtual event will take place from April 12-14 and feature companies from around the world syncing up to learn about new mathematical solutions to...
Announcement Re: WinterSim 2020
Every use case presented by Pathmind at WinterSim 2020 was based on work done with models built on AnyLogic software, including those use cases presented in conjunction with other simulation vendors. These use cases were validated as part of the...
Pathmind Sponsors and Presents at Wintersim 2020
Pathmind is sponsoring the 2020 Winter Simulation Conference (Wintersim). This year's conference, scheduled December 14-18, will be virtual, and its theme is "Simulation Drives Innovation." The show kicks off with an opening keynote from IBM's Ben...
Engineering Group: Manufacturing Optimization with AI Minimizes Factory Flow Bottlenecks
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...
Engineering Group: Using AI to Maximize Factory Output with Better Order Sequencing
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...
Princeton Consultants: Using AI to Maximize Efficiency of Machine Scheduling
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...
Warehouse Optimization Project Uses AI and Simulation to Adjust Crane Behavior
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. ...
Metals Processor to Save 10% on Electricity Spend with AI-Based Energy Optimization
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...
Goal-Oriented AI: When AI Gives You Chills…
There’s something eerie about deep reinforcement learning that sets it apart from other kinds of AI. Deep reinforcement learning is “goal-oriented” AI. That is, it learns which actions to perform in order to reach a goal. It was used in the early...
Accenture: Carbon Emissions
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...