Smart scheduling
Balance people, machines and materials automatically against real constraints.
Scheduling is a constraint problem a spreadsheet cannot really hold: orders, machine capacity, manpower and material all move at once. A solver proposes a schedule that respects the real limits, and the planner keeps the final say.
- Ingest orders, capacity, manpower and material constraints.
- Optimize against due dates, changeovers and utilization.
- Propose a schedule the planner can adjust.
- Re-plan quickly when an order or a machine changes.
- Open orders and due dates
- Machine capacity and manpower
- Material availability
- A prioritized, constraint-aware schedule
- Overtime and utilization estimates
- Fast re-plans when things change
High-mix shops where manual scheduling leaves machines idle or people on avoidable overtime.
We design and deploy to the ISO/IEC 27001 (information security) and ISO/IEC 42001 (AI management system) frameworks. Data stays where it should, decisions that carry real cost keep a human in the loop, and every model call is logged for audit.
Designed and deployed to these frameworks. Not a certification claim.
Have a problem like this?
Bring your messiest operational problem. In 30 minutes we will tell you where AI would pay back fastest, and where it would not.
Discuss an operations problem