In this blog, we gather five stand-out blogs from the past year – the unusual year that was 2020.
During the year, the simulation community responded well to various challenges of the year and produced some outstanding simulation models and content. Our team also advanced AnyLogic to version 8.7, updated the Big Book of Simulation Modeling with new chapters, and brought new developments to the cloud platform. Read on!
Every year is unique and 2020 was no exception. Reviewing the blog, it is clear that the simulation community responded well to many of the pandemic related challenges and continued with inspiring work throughout the year. In this review, see some of what defined 2020 for AnyLogic and how much there is to look forward to 2021.
The AnyLogic Cloud version 2.2.x releases have given organizations that use simulation modeling an integrated environment for model management and execution. The new features in these releases upgrade simulation accessibility, security, and performance.
This blog post will look at how simulation models are managed by AnyLogic Cloud and highlight various new features up to the current 2.2.2 release.
We participated in WinterSim 2020 – the largest professional conference dedicated to simulation. During the conference, participants presented and discussed how they use simulation modeling in business and science, and software companies shared simulation modeling product innovations.
Our main presentation this year was about AnyLogic 9.0, a significant update to the simulation modeling software which we will release in 2021. Here are some of the new features to look forward to in the coming 9.x releases...
In this article, we introduce the broad field of predictive analytics, its connection with machine learning, and how simulation works as a predictive analytics technology.
Why use predictive analytics? Good question. Predictive analytics is about making forecasts based on historical data. Practitioners analyze past events with statistical algorithms and machine learning techniques to produce probabilities and predictions for systems in the future. Almost everyone is subject to and may benefit from predictive analytics. Learn more...
Monte Carlo simulation is a mathematical technique that provides accurate estimates when working with uncertainties. It uses randomness to obtain meaningful information and is effective for calculating business risks and predicting failures such as cost or scheduling overruns.
AnyLogic enables Monte Carlo simulation for highly complex systems. With multimethod modeling simulated systems can be complex, dynamic, and non-linear. The results from these simulation models can come from parallel processing and cloud computing and made available in a variety of ways, including via API and custom UI. Learn more...
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.