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.
The lives of shareholders, investors, and auditors can be made easier, thanks to fintech start-up EcoBanking’s cash flow analysis system. The EcoBankingSystem, or EBS, applies novel methods of analysis to historical data that consider time delays and non-linear dependencies.
Read on and find out more, including demo cloud model...
The fourth edition of the “What’s New in AnyLogic 7?” blog will take a closer look into the improvements of flexible resource management. The unnatural difference between “regular” and network based resources have been eliminated during, what the AnyLogic development team and seasoned users call, “The Great Merge.” “The Great Merge” is best depicted by the following scheme, which shows how agents, active objects, entities and resource units now all act as agents with their own behavior.
