Blog

ChatGPT is a dynamic tool that can be used to make simulation modeling simpler and faster. Check out the blog post on this exciting new development, and then watch the video to explore some use cases in more detail. Whether you are a beginner or an advanced modeler, this latest webinar from the AnyLogic team has something for you.

How to structure a simulation model so that it doesn’t crumble when sudden changes need to be implemented was the focus of a workshop from Dr. Benjamin Schumann. Given at AnyLogic’s global conference and now shared online, the workshop is a detailed guide for all skill levels on how to build robust models.

A video showing how to convert your AnyLogic simulation model from 2D to 3D. After watching this it, you will be able to create simple models and transform them into 3D giving a different perspective which allows for a visual understanding of a situation.

From our latest webinar learn about what custom libraries are and how they can be used in conjunction with enterprise simulation to improve the delivery of future projects.

Automated guided vehicles are widely used in manufacturing and warehousing to move items around. A simple example model combines various AnyLogic libraries and modeling approaches to simulate the AGV charging process. Read through and don’t forget to open the model in AnyLogic software to follow along with the example.

Managing under uncertainty is not easy, especially when you’re facing new realities that have never been experienced before. How can you do proper forecasting for your business without relevant historical data? Simulation is the tool to help you with that.

Revolving doors are the perfect solution for modern day living. They allow for the movement of people in and out, while maintaining the ideal climate inside the building. See how easy it is to make the most of a revolving door using AnyLogic simulation software.

Urban design projects presented as physical models usually look nice and detailed, but when implemented they may reveal unexpected problems. Even if such models match the actual layouts, some dynamic factors that may affect the design get left out. Using simulation, you can consider the dynamics, which gives you a more complete picture of the system's performance over time.

Simulation models are based on data, and when you import data from an external database, there’s an efficient approach that won’t affect model performance. Data from MS Excel/MS Access/MS SQL Server can be imported in a couple of clicks but what if it is stored in MySQL or PostgreSQL?

Follow our guide and learn how to connect data in PostgreSQL with an AnyLogic model to create a schedule.

Uncertainty is an essential part of our everyday lives. And when we build simulation models, we want them to reflect the real world as closely as possible. For that, you'd need to include randomness in your simulation.

Learn how to set randomness in AnyLogic models, what generates random results, what AnyLogic pre-set probability distributions are, and find helpful resources on the topic.