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How leading automotive producers improve with simulation


How leading automotive producers improve with simulation

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.

Asset management optimization for repairable spare parts


Asset management optimization for repairable spare parts

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.

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 demonstrates them with the help of a practical example model: Areas with Limited Access for Transporters.