Production Scheduling
RoadmapFactory scheduling. Sequencing. Changeover optimization. Yield-aware load balancing. The decisions that convert production targets into executable shop-floor commitments.
What makes this a distinct decision domain
Production scheduling operates at a different granularity, decisions are hourly or event-driven, and the exogenous information that matters most is yield, breakdown signals, and changeover time. The objective is throughput and adherence to the loads supply planning committed to.
The policy class is PFA or rolling DLA, fast-executing policies that plan a short horizon and re-optimize on every event.
Why it belongs on the same platform
Supply planning decides what to produce. Production scheduling decides when and in what order. If the two speak different data languages, every discrepancy becomes a reconciliation problem. On Autonomy, the supply plan and the production schedule both read and write the same world model — so an infeasible schedule pushes signal back upstream, and a yield miss pushes correction downstream.
Roadmap
Production Scheduling is on the roadmap. The MO Execution agent already handles manufacturing order release; the full scheduling layer is sequenced after the world-model unification pass.
This plane intersects with
Where the collaboration contract lives, not an integration project.
Supply Planning × Production Scheduling
WO commitments + changeover cost as a Lagrangian dual price returned upward.
Production × Transport
Inbound material arrival windows and outbound ship-by commitments.
Production × Warehouse
Component staging to lines, finished-goods putaway, kanban state.
Thinking about unified planning + scheduling?
Talk to us about early-access scheduling design and how the AIIO operating model changes the shop-floor experience.