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.
Those of you who are already familiar with simulation modeling certainly know that it can be used in supply chain or manufacturing. Nothing unusual there. However, its application is much wider than that. In this blog post, we give an overview of three different projects demonstrating the versatility of simulation. For technical details, watch the video.
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.
There are many cases where it’s desirable to incorporate trained machine learning (ML) models into a simulation model. Now, thanks to a new AnyLogic library, using ONNX ML models is easier and more efficient.
By incorporating this add-on library into your AnyLogic environment, your models can access its functionalities, just like with any other built-in library. It’s simply a matter of adding the helper object to your model and configuring it. Read on to find out more.
More runs, more users, and more model. More and more is demanded of simulation models as clients analyze greater numbers of scenarios, expand user access, and model in greater detail. How to scale and meet these demands?
PwC emerging technology senior manager Sindy Ma is an expert on scaling simulations. Her presentation at the AnyLogic Conference 2021 showed three real-world case studies of projects that met the challenge of scaling simulations for more scenarios, more users, and more model. Find out more...
Simulations at the enterprise level are becoming a more widespread and integral part of daily workflows. They are a key component of the insight-generation ecosystem alongside BI, AI, and optimization technologies.
This blog post summarizes the AnyLogic Private Cloud platform and introduces the recording with Q&A session for the webinar AnyLogic Private Cloud: Enabling Enterprise Scale Simulation Deployment.
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.
Automated systems have reached their limits and companies wanting to further enhance business processes are turning to artificial intelligence (AI) technologies like machine learning (ML). In an AnyLogic workshop, Microsoft Autonomous Systems Principal Program Manager Kence Anderson explored the advanced decision-making possibilities of ML and showed how Microsoft’s machine teaching concept is achieving faster training times.
The easily accessible workshop session provides a high-level overview of AI’s state of the art with examples from Microsoft and DeepMind research, as well as illustrative Karate Kid analogies.
Supply chain design, management, and optimization is easier with anyLogistix. Building on the simulation capabilities of AnyLogic with supply chain specific features and a streamlined interface, anyLogistix is a powerful supply chain tool that is easily accessible for analysts, managers, and network designers alike.
Discover better supply chain analytics.
