How Can Pathmind Help Me With Simulation Optimization?
Pathmind helps businesses find better ways to save money and increase output by using AI for simulation optimization, and then deploying trained AI into operations.
Our web application frees up your time and local resources while it searches for solutions using reinforcement learning and cloud computing clusters.
Once the best decision paths have been found, Pathmind creates an AI policy to embed in your systems.
We offer simulation modelers a quick, simple workflow that requires no advanced knowledge of AI.
Pathmind Product Demo
Take a look at this video to see how Pathmind is used to lower delivery wait times in a network of factories and distribution centers. When faced with real-world complexities, Pathmind outperforms the heuristics and optimizers to generate better results.
Delivery optimization is just one example of how Pathmind gets the most out of simulation models. Check out our other example models to see how Pathmind performs in simulations featuring supply chains, coffee shops, and more.
Why Should I Use AI in Simulations?
Get to Better Results Faster
Get superior results in less time from the tools you trust by using AI and cloud computing for simulation optimization.
Handle Variance and Change
Navigate unexpected change and variance with Pathmind policies that outperform mathematical optimizers.
Deploy Real-Time Decisions
Implement trained predictive AI models in real-world systems to make key decisions better.
Where Do I Start With AI?
Build
Build a model ready for AI simulation optimization using tools that you trust like AnyLogic in a familiar workflow.
Just drag and drop the Pathmind Helper into your model and use its properties to add AI capabilities.
Train
Train your AI models fast on Pathmind’s web app.
Experiment tracking makes it easy to monitor progress and results across multiple experiments.
Deploy
Deploy validated AI models as endpoints in a REST API to make better decisions.
Query the endpoints to know the AI’s suggested action or decision, which can be easily applied in production.
Recent Updates
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...