AnyLogic simulation demo: Managing inventory and transportation for distribution centers
Distribution centers are full of complexity, especially when it comes to planning and managing inventory and transportation. From maintenance and scheduling to human resources and risk management, these dynamic variables often overwhelm traditional machine learning solutions. That’s where the Microsoft Project Bonsai toolchain and AnyLogic simulation come in.
A Project Bonsai “brain”, or AI agent, is trained using Deep Reinforcement Learning (DRL), which means it learns on its own through trial-and-error. Since that is rarely possible to do on a live system, advanced simulations are key element to deploying these AI solutions. AnyLogic’s distribution center simulation model is a good fit.
AnyLogic demo
In this 10-minute demo video, you’ll understand how the AnyLogic simulation model allows organizations to effectively manage transportation, maximize transportation loads, minimize risks, and provide detailed analysis. The video covers three main processes carried out by a distribution center: loading, unloading, and preparing orders.
Click here to try the simulation demo yourself, or open it using the media player below:
The AnyLogic simulation is a great tool for transportation system analysis and management.
Want help using AnyLogic simulations for your project?
Neal Analytics has deep expertise in end-to-end AI model deployments, and we’re an AnyLogic partner! Contact us to hear how we can help you leverage AnyLogic for Microsoft Project Bonsai solutions.
