Blog

Introducing the AnyLogic Cloud API and Python. In this blog, see how to use the AnyLogic Cloud API with Python and evaluate its capabilities with an example model.

Python’s popularity ranks just behind that of JavaScript as the world’s second most popular language on GitHub. It is a popular language for machine learning, data processing, and data presentation. For AnyLogic, the Pypeline connector library allows you to call Python from within a running AnyLogic simulation model — learn more in our Pypeline webinar video. In this blog we will focus on the AnyLogic Cloud API and Python.

We have released AnyLogic 8.7 - a new version of the most popular simulation tool for business. You can already download it from our website. In this release, we have expanded the capabilities of the specialized libraries, improved animation, and introduced support for experiments with AI-powered models.

And, as with every release, we have improved 2D and 3D animation so that they work faster and more smoothly, this release is no exception. Start using AnyLogic 8.7 today! Get the download and try the new features in action!

ITC Infotech undertook work to optimize inventory keeping in complex asset intensive industries. By combining simulation, machine learning, and optimization, they demonstrated effective asset management and inventory optimization for rotable/repairable spares that balances service levels and inventory costs.

See how Kumar Sumit and his team at ITC Infotech used OptQuest optimization, Python, decision tree machine learning, and AnyLogic for repairables asset management optimization.

Upcoming features and functionality for AnyLogic 9 were previewed alongside AnyLogic 8.7 and AnyLogic Cloud developments at the online AnyLogic User Experience with MaxRad Software.

AnyLogic 9 will be a major update and many new details were revealed during the session from The AnyLogic Company CEO, Andrei Borshchev, Principle Software Engineer, Nikolai Churkov, and Head of AnyLogic Cloud Development, Alexander Rakulenko.

Here is the presentation recording with a follow-up question and answer session.

A key part of the AnyLogic 8.6 update related to the Material Handling Library. Now the movement of transporters such as AGV can be restricted by area and access can be permitted conditionally: by transporter number, by schedule, by throughput, and more.

This technical blog guides you through how to use these restricted areas and demonstrates them with the help of a practical example model: Areas with Limited Access for Transporters.

Manufacturers are finding that the new normal is an increased need to quickly adapt. As the COVID-19 pandemic continues to cause disruptions, Steve Sashihara and Patricia Randall of Princeton Consultants have reported on how they are using simulation modeling to help companies develop, optimize, and communicate new manufacturing policies.

As one of the largest steel manufacturers and suppliers in the world, Tata Steel faced the need to optimize the internal logistics of one of its steel manufacturing units. The company saw potential for increasing the unit’s overall throughput using AnyLogic as production optimization software.

Read on and find out more about the case.

Imagine that you need to create a computer program. To do this, you have to hire developers, designers and testers, organize processes, draw up a development plan, constantly evaluate the performance of colleagues, and so on. The task quickly becomes complex. What are your chances of success if you are not a professional?

Here, the downloadable book chapter explores how to use simulation in project management. It gives practical examples from a logistics service provider and a construction company to support its ideas and the demo models from the chapter are open access, so that you can download them, disassemble, and consolidate your knowledge in practice.

Here is our webinar recording and accompanying resources that introduce the key concepts and workflow for using Project Bonsai and AnyLogic simulation together.

The webinar follows AnyLogic and Microsoft joining forces to bring deep reinforcement learning and machine teaching to business applications. Watch the video and try out the example models.

One of the key methods for gaining insight into the unknowns of the COVID-19 pandemic is to use simulation modeling. This is true for many disciplines across business and research, as reflected in the collection of public models being uploaded to AnyLogic Cloud. Here we gather a variety of COVID-19 related simulation models.

See the models and try them out!