Graphite, Anode & Battery Materials Processing worked example
Production Ramp Planner at 90% expected ramp uptime: a worked example in graphite, anode & battery materials processing
This scenario runs the production ramp planner calculation on the strong side: 90% expected ramp uptime, with every other input held at its documented default. Use it when moving from lab to pilot, pilot to demonstration, or demonstration to commercial production and checking whether ramp assumptions produce enough saleable kg.
The inputs for this scenario
- Accepted output per ramp cycle: 120 kg / cycle (unchanged)
- Planned ramp cycles: 30 cycles (unchanged)
- Expected ramp uptime: 90 % (raised for this scenario; the documented default is 78)
- Ramp first-pass yield: 72 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross ramp output = accepted output per ramp cycle × planned ramp cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 2,333 kg for usable ramp output, the number this scenario is built around.
- At this operating point the engine returns 3,600 kg for gross ramp output.
- At this operating point the engine returns 360 kg for ramp uptime loss.
- At this operating point the engine returns 907 kg for ramp yield loss.
How this compares with the baseline
- Against the tool's baseline example, where expected ramp uptime sits at 78% and the headline result is 2,022 kg, this scenario comes in 15.38% above the baseline at 2,333 kg.
- Use it when planning a new anode line, qualifying additional furnaces, or committing ramped volume to a customer before steady state. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Usable ramp output: 2,333 kg (headline result)
- Gross ramp output: 3,600 kg
- Ramp uptime loss: 360 kg
- Ramp yield loss: 907 kg
Run it with your numbers
- Every input above is editable in the live Production Ramp Planner calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.