Explores how Artificial Intelligence is transforming metals scheduling moving beyond traditional rule-based planning to deliver dynamic, data-driven intelligence.
The webinar focused on AI-driven scheduling intelligence and virtual twins for metal operations, hosted by Prashanth from the DELMIA Metals team with colleagues Dorin and Khoa.Khoa demonstrated the scheduling intelligence tool's three main capabilities: current schedule performance analysis with KPIs and alerts, schedule adherence analytics comparing planned versus actual execution, and AI-powered prediction of future adherence issues with confidence scores and root cause analysis.
The discussion covered how the tool addresses challenges in metals industry scheduling, including real-time disruption management and balancing competing objectives across different production stages. Dorin shared insights from his experience in metals industry leadership roles, explaining how the AI optimizer provides decision support and simulation capabilities to help planners respond more effectively to disruptions.
The team also discussed integration with existing QUINTIQ schedulers, third-party MES systems, and the upcoming release of Leo, an agentic virtual companion for scheduling intelligence planned for the second half of the year.
