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COVID 19: The Good, the Bad and the Agent Based Model


COVID 19: The Good, the Bad and the Agent Based Model

Why is it so hard to model the COVID-19 epidemic? In this guest blog Ignacio Brottier and Patricio Pipp look at how agent-based simulation modeling goes beyond traditional SEIR and its shortfalls.

The first step to understanding any system is asking ourselves what it is we are trying to understand and, as the team of FiveThirtyEight well explains in their very recommended article, understanding COVID-19’s evolution is no easy task...

Analyzing electricity smart grids and markets with simulation


Analyzing electricity smart grids and markets with simulation

Energy markets are changing. They are now open to competition, households regularly generate electricity, and a necessity for more environmentally friendly modes of transport means electric vehicles are placing new demands on electricity grids. While these changes take place, electricity delivery must remain stable and affordable.

Sjors Hijgenaar proposes a radical response to these developments — decentralized smart grids and direct local trade. As part of his analysis, he develops an agent-based simulation of a Dutch neighborhood that uses a smart grid and local trade to show the benefits for efficiency and reliability. How can this work?

Sim Talk podcast with The AnyLogic Company CEO


Sim Talk podcast with The AnyLogic Company CEO

Andrei Borshchev recently sat down with Sim Talk podcast host, Jacob Ingalls, for a wide-ranging discussion about AnyLogic and simulation modeling. Here is an overview and link to the podcast.

The podcast discussion begins by providing insight into the state of dynamic simulation in the late 1990’s and early 2000’s, giving detail to how AnyLogic began and how it changed the scene with agent based modeling. Read on for the summary and podcast link.

Beyond Market Mix Models


Beyond Market Mix Models

Traditional Marketing Mix models attempt to explore the tradeoffs amongst different marketing channels and the spends associated with them. The weaknesses of these models are, generally, their static nature and the restrictive assumptions required to apply their results. For these reasons, an American pharmaceutical company, one of the largest in the world, engaged with Sterling Simulation to explore the benefits of agent-based modeling, prior to launching a new product. The use-case was presented by Scott Hebert, Vice President of Sterling Simulation at the AnyLogic Conference 2015.

Lockheed Martin - Improving Military Aircraft Turnaround Process


Lockheed Martin - Improving Military Aircraft Turnaround Process

The military aircraft maintenance turnaround process is highly complex and includes multiple interacting and parallel workflows between humans and machines. Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry sought to improve decision-making in regards to the complete turnaround process and to identify process changes that could be implemented to reduce turnaround time. There are two distinct features unique to the project. One being the use of AnyLogic to model people, machines and workstations, and how they interact, which identified previously unknown workflow peculiarities. The second, a portable Android tablet application developed and tested by the team for workflow authoring and data collection that provided the input data to the process simulation model.