AnyLogic 8.6 is here! We have added new features to the industry-specific libraries, improved animation, and simplified the update process. Read more about the innovations, download the new version, and start working with AnyLogic 8.6!
Blog
Getting started with material handling – webinar and MHL Pocket Handbook
A new way to get started with AnyLogic’s Material Handling Library is now available — the MHL Pocket Handbook. At our Planning & Optimizing AGVs and Conveyors webinar with DSE Consulting, June 2020, attendees were introduced to this new interactive tool for learning MHL blocks. Both the pocket handbook and the webinar also provide sneak peeks at some upcoming AnyLogic 8.6 features.
Webinar host Aanand Davé, managing director of DSE Consulting, introduced in-house DSE simulation specialist, Kelvin Yeung, and Jock Richardson, director at agri-tech company Growpura. Together, they demonstrated material handling simulation using AnyLogic and highlighted its use in industry with a model of Growpura’s large-scale hydroponics setup.
Watch the video and try out the MHL Pocket Handbook!
Network port: Learning to use the Material Handling Library (Part 5)
Part five of our series on AnyLogic’s Material Handling Library, a library specifically designed to help model the work of factories, warehouses, and other facilities where goods are moved, processed, and sorted.
This blog demonstrates how to connect individual conveyors, and any processing stations on them, into a single conveyor network using the Network Port element.
Ready to level up? Then let's dive right in!
Train AI-agents with Microsoft Project Bonsai
Train AI-agents with simulation. AnyLogic has joined forces with Microsoft to bring the deep reinforcement learning and machine teaching capabilities of Project Bonsai to practical business applications.
Read on, find out more about the collaboration, and try out the platform and demo models. Dive in!
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...
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...
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 discrete-event.
Suitable for new users, intermediate, and advanced, the book provides examples and step-by-step guides based on a variety of application areas. Read on, learn what's in the new chapters and download them to read.
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…
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, recording, and Dr. Nathaniel Osgood’s Q&A answers.