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The Decorator Pattern lets us dynamically add behaviour to objects without creating a new subclass for every possible combination. In this post, we build a vehicle-rental example in AnyLogic and discuss why, despite its flexibility, we don't tend to use this pattern in our own simulations.

Learn how to collect simulation data in AnyLogic using DataSet and HistogramData, including event-driven sampling, recurrent sampling, queue measurements, and time-in-queue analysis.

How should objects in a simulation respond when another object changes state? In this article, we use an AnyLogic armed-response model to explore the Observer pattern. We compare periodic polling with event-driven notifications and show how the Observer pattern can reduce detection delays, remove unnecessary checking events, and make simulation models easier to extend.

Learn how to apply the Strategy design pattern to AnyLogic simulation models. Using an inventory management example, this article shows how separating changing ordering behaviour can make simulation models easier to understand, maintain and adapt.

Ever wondered whether you can save Java classes and load them again. For example, can you save scenarios and results to ensure reproducible, shareable results between users?

AnyLogic 9 is more than a new interface. It is the process to turn AnyLogic into a browser-based, cloud-connected environment for the full simulation lifecycle. The direction is exciting, but the Technology Preview is not yet a replacement for AnyLogic 8.

Unexpected behavior in your AnyLogic model? It might be due to improper parameter initialization. This post explains why parameters don’t always behave like variables, how initialization timing affects your model, and what best practices to follow to keep your simulations running as intended. Don’t get caught off guard—initialize properly!

Discover how AI can accelerate AnyLogic model development. This post explores how intelligent assistants can suggest logic, generate code, and simplify complex modeling tasks—turning the model-building process into a faster, smarter, and more collaborative experience for simulation professionals.

Proper code formatting improves readability, debugging, and collaboration. Learn best practices to keep your code clean and efficient!

Too often in AnyLogic we find ourselves creating multiple copies of the same objects instead of using code to to parameterise our logic

Ever wondered if there was an easier or better way to write standard code or perhaps even not write it at all?

Large scale traffic simulation to test the impact on traffic if access to a suburb is restricted through closing intersections.

This is a special guest blog post by intern Devon Cowling. After some great feedback from readers on his previous blog posts on smart...

Google OR-Tools is a super useful flexible lightweight tool that is used to solve a number of operations research-type problems.

This is part 2 of a 2 part series where we look at using a profiler to analyze model performance. This post focussed on CPU optimization

Yash gives a quick overview of you can manage errors inside an AnyLogic simulation model. Using standard Java functionality and an example.

This is part 1 of a 2 part series where we look at using a profiler to analyze model performance. This post focussed on memory optimization

There is a set of out-of-the-box functions in AnyLogic that makes our life easier! To use them you need to understand what a predicate is.

This post is part 5 of a 7 part series about the Simulation Model Life cycle. It focuses on the experimentation phase.

Ever used inheritance in your AnyLogic models and also overridden one of the methods. Then you need to read this post.