Blog

Restricted Areas: How to control access for transporters (Part 6)


Restricted Areas: How to control access for transporters (Part 6)

A key part of the AnyLogic 8.6 update related to the Material Handling Library. Now the movement of transporters such as AGV can be restricted by area and access can be permitted conditionally: by transporter number, by schedule, by throughput, and more.

This technical blog guides you through how to use these restricted areas and demonstrate them with the help of a practical example model: Areas with Limited Access for Transporters.

Webinar: Fundamentals of the AnyLogic Material Handling Library


Webinar: Fundamentals of the AnyLogic Material Handling Library

Learn how to model multi-level environments and how to simulate automated guided vehicles and cranes in this webinar video recording with supporting materials.

Using four example models, our in-house simulation expert and head of training in North America, Dr. Arash Mahdavi, introduces the fundamentals of the AnyLogic Material Handling Library. Understand the possibilities the library presents and see how to get started.

Material Handling Library Tutorial: AGV, Cranes, and Conveyors


Material Handling Library Tutorial: AGV, Cranes, and Conveyors

AnyLogic Help has a new tutorial: Lead Acid Battery Production (Material Handling). By following the tutorial, you can learn how to model material handling processes using AnyLogic’s specialized Material Handling Library. The tutorial explains step-by-step how to create a model of a lead-acid battery production line. The model includes path-guided and free-space automatic guided vehicles (AGV), conveyors, and cranes. Check it out!

An industrial problem resolved by AI and simulation


An industrial problem resolved by AI and simulation

A short blog presenting an industrial problem and its reinforcement learning solution, made using AnyLogic and developed by EII. The flexibility and customizability of AnyLogic allowed the use of RL4J to create a hybrid platform.

Read on, find out about the problem and see how to train learning agents by letting them interact with an AnyLogic environment. You will also learn the techniques used to formulate the industrial problem in a way fit for machine learning.

How a digital twin can help decision making


How a digital twin can help decision making

Digital twins are part of Industry 4.0. How are they being used on automobile production lines? Here we investigate how a digital twin is made and used in the automotive industry.

One of the world’s largest capital goods companies, CNHi, wanted to evaluate Industry 4.0 technologies. It chose its IVECO production plant in Suzzara, Italy. Fair Dynamics were contracted and proposed a digital twin. Read on and discover how maintenance costs can be reduced with a digital twin — Production line downtime was shown in a study of over 100 automotive executives to cost an average of $22,000 per minute.