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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...
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How to build a true digital twin
Learn how to create a self-configuring material handling digital twin from this webinar recording with accompanying simulation model. Presented by Dr. Benjamin Schumann in three chapters, the webinar covers how to automatically configure machines and products, conveyors, and automatic guided vehicles (AGV). Imagine receiving a call from Jeff Bezos — he wants you to simulate a...
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The Big Book of Simulation Modeling – new chapters part 3
In this third installment, there are two new chapters for the key AnyLogic text are now online and available for download. In these two chapters, learn about Statecharts and 3D animation. The 'Big Book of Simulation Modeling, Multimethod Modeling with AnyLogic 8', is the essential text for those learning simulation modeling and AnyLogic. It is the only book to comprehensively present the three major methods in simulation modeling: agent-based, system dynamics, and...
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How-to video: simulating multi-level facilities
Watch how to use AnyLogic process simulation software to design multi-level facilities in manufacturing, healthcare, warehouse, and other models. To continue with production process modeling, check out our manufacturing simulation webinar recording.
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Evaluating a Proof-of-Greed consensus algorithm with simulation
Dr. Igor Mazurok and his team applied AnyLogic simulation in the research of blockchain consensus mechanisms. Focusing on the Java based Nxt network, the team propose supplementing the network’s Proof of Stake consensus mechanism with a Proof of Greed mechanism so that transaction verification is rewarded more fairly. Read on and discover more of how simulation can be used in blockchain research…
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Q&A: Hybrid Dynamic Models in COVID-19 Planning and Beyond
The webinar Hybrid Dynamic Models in COVID-19 Planning and Beyond drew in a record number of attendees and prompted some great questions around the theme of simulation modeling and healthcare planning. Dr. Nathaniel Osgood, a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan, provided great insight into simulation modeling related to healthcare. Read on for the webinar details...
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More new Big Book of Simulation Modeling
Three more new chapters are now online and available for download. The new Big Book of Simulation Modeling: Multimethod Modeling with AnyLogic 8 continues to expand. Download the latest chapters of this key text for learning AnyLogic. The content is valuable for both beginners and professionals in simulation modeling. The first updated chapter in this blog is about the three main approaches to modeling. The second chapter is devoted to creating interactive models and their...
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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...