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Winter Simulation Conference 2020 and AnyLogic


Winter Simulation Conference 2020 and AnyLogic

The Winter Simulation Conference from INFORMS is a major event each year on the simulation modeling calendar. The event brings together leading simulation modeling practitioners, academics, and software vendors.

AnyLogic simulation software is longstanding favorite at the conference, with the software featuring in more case studies than any other simulation modeling tool. Here are presentation and workshop highlights, including videos and papers.

AnyLogic 9 at WinterSim 2020


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 the coming 9.x releases...

Predictive Analytics using simulation models


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 benefit from predictive analytics. Learn more...

Monte Carlo simulation in business


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 parallel processing and cloud computing and made available in a variety of ways, including via API and custom UI. Learn more...

AnyLogic Cloud API: Python


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 — learn more in our Pypeline webinar video. In this blog we will focus on the AnyLogic Cloud API and Python.