The world’s leading automotive manufacturers use simulation modeling to optimize production line processes, improve scheduling, create forecasts, and integrate new technologies. Using simulation modeling helps them stay at the forefront of innovation and avoid costly mistakes.
Here are five case studies that highlight the different areas automotive manufacturers apply AnyLogic’s multi-method simulation modeling.
AnyLogic specialist Gennady Parshin simulates production operations at the United Metallurgical Company - a world leader in the production of large diameter pipes. In this article, Gennady shares his experience in modeling complex technological processes using AnyLogic and talks about how United Metallurgical Company (OMK) engineers simulate the operation of overhead cranes. We publish this article on his behalf.
ITC Infotech undertook work to optimize inventory keeping in complex asset intensive industries. By combining simulation, machine learning, and optimization, they demonstrated effective asset management and inventory optimization for rotable/repairable spares that balances service levels and inventory costs.
See how Kumar Sumit and his team at ITC Infotech used OptQuest optimization, Python, decision tree machine learning, and AnyLogic for repairables asset management optimization.
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 demonstrates them with the help of a practical example model: Areas with Limited Access for Transporters.
Manufacturers are finding that the new normal is an increased need to quickly adapt. As the COVID-19 pandemic continues to cause disruptions, Steve Sashihara and Patricia Randall of Princeton Consultants have reported on how they are using simulation modeling to help companies develop, optimize, and communicate new manufacturing policies.
As one of the largest steel manufacturers and suppliers in the world, Tata Steel faced the need to optimize the internal logistics of one of its steel manufacturing units. The company saw potential for increasing the unit’s overall throughput using AnyLogic as production optimization software.
Read on and find out more about the case.
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...
AnyLogic experts at business consulting company NFP worked to resolve a crane task distribution problem for a major international metallurgical company. Their innovative solution employed machine learning and improved on an expert selected policy. Read on to learn more about the project.
The simulation model can be found in the cloud and was featured as model of the month December 2019.
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.
