Blog

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.

How to go from a good to great AnyLogic simulation modeler was the focus of a masterclass workshop from Dr. Benjamin Schumann. Given at AnyLogic’s global conference and now shared online, the workshop is an up-to-date guide, for all skill levels, on how to level up and practice advanced simulation modeling.

Anyone with programming experience can build models, but not every programmer can become a good simulation modeler.

In this article, we will detail what a simulation model developer does, what you need to know to become one, and where to find learning resources.

Building a successful simulation project is a complex endeavor that can lead to failure if proper tools and best practices are not used. The webinar objective was to discuss, for each phase of a project, how to optimize your chances of resolving a business problem you are facing.

This guest blog by Felipe Haro of Noorjax Consulting follows his AnyLogic Project Life Cycle webinar. The webinar goes deep into how best to manage simulation projects and can be found at the foot of the blog. This blog provides simulation project management context and introduces the main themes of the webinar.

A guest post from Jaco-Ben Vosloo and Vitor Lemos, co-founders of The AnyLogic Modeler.

While you may have heard of Python scripting in AnyLogic, Java is the original, and currently the only fully-supported, scripting language. Knowing a little Java can really level up your simulation modeling in AnyLogic. The course introduced here is a new way to gain that knowledge.