What is a digital twin? What are its benefits? Is it applicable to my business? If these are the questions you're asking, you've come to the right blog post.
Learn about digital twins in business, how they are combined with simulation, and check out the on-topic case studies from various industries.
Production scheduling is the process of maximizing the efficiency of production through the detailed planning of manufacturing operations in the short-term. In this blog post, we will illustrate how exactly this has been done using real-world examples from different industries.
Risk management is the process of identifying, assessing, and controlling risks for a business. These risks could stem from a wide variety of sources and if an unforeseen event blindsides your business, it could sustain a financial loss. Simulation is a tool that helps identify potential risks and find ways to make your business resilient.
Automated guided vehicles are widely used in manufacturing and warehousing to move items around. A simple example model combines various AnyLogic libraries and modeling approaches to simulate the AGV charging process. Read through and don’t forget to open the model in AnyLogic software to follow along with the example.
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.
