Related posts
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AnyLogic 2020 in review
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.
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Advanced simulation platform – AnyLogic Cloud release
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.
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AnyLogic 9 at WinterSim 2020
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...
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Predictive Analytics using simulation models
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...
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Monte Carlo simulation in business
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...
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AnyLogic Cloud API: Python
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...
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AnyLogic 8.7 release: Social Distancing, Overhead Cranes, and AI Experiment
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...
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Asset management optimization for repairable spare parts
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.