What data is needed to use AI for production scheduling?

You can start with a lean dataset from your ERP/MES: orders with quantities and due dates, routings and operations with setup and run times, and machine or work-center calendars and capacities. Add shift models for people and equipment, plus basic planning rules like freeze windows, WIP limits, and sequencing preferences. This is enough to build feasible, capacity-aware schedules and to replan quickly when something changes. As you mature, you can add material checks, maintenance windows, and skills or crew constraints.

More FAQs Around This Topic

What type of data is required to get started with customised AI-driven planning?
How digitally mature should a factory be to be able to use Ai-driven planning?
Do SMEs need big data to adopt AI for production planning?
How should SMEs pilot AI scheduling?
Can AI unlock capacity without new machines?
What’s a realistic timeline and scope for piloting AI scheduling on one line?
How does AI scheduling integrate with my existing ERP/MES and planning board?
What data is needed to use AI for production scheduling?
Can AI actually replan in real-time after a machine breakdown or a rush order?
How does AI improve production scheduling?
What does production scheduling AI do?