Processes

Plan and simulate manufacturing

How plan and simulate manufacturing are reshaped as AGI capability advances.

ProcessesPlan and simulate manufacturing
Plan and simulate manufacturing — illustrated

The bottom line

Roughly 90% of the work in Plan and simulate manufacturing is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.

Why: Without seeded child occupations, the score is derived from the Process name and Lens ('Plan and simulate manufacturing'). While the target domain is physical motor vehicle manufacturing, the work of planning and simulating itself is highly digital knowledge work performed via software, involving digital twins, CAD/CAM, and production modeling.

grounded in the economy graph · digital scalar 0.90 · digital

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Plan and simulate manufacturing sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Plan and simulate manufacturing inherits.

Where Plan and simulate manufacturing sits

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How the work flows

Trigger: A new vehicle program or major engineering change is approved for production feasibility.

  1. Import vehicle 3D models and engineering bill of materials
  2. Translate engineering bill of materials into manufacturing bill of materials
  3. Define assembly sequences and workstation resource allocations
  4. Run kinematic simulations for robotic cells and human ergonomics
  5. Identify and resolve virtual bottlenecks and clearance issues
  6. Export validated process plans to production systems

Outcome: The manufacturing process is fully validated in a virtual environment with finalized routing, cycle times, and resource requirements.

Measured by

Process Planning Cycle TimeSimulation Accuracy RateVirtual Engineering Change Rate