Bicycles, E-Bikes & Micromobility worked example

Demand Ramp Planner at 94% expected line uptime during ramp: a worked example in bicycles, e-bikes & micromobility

Push expected line uptime during ramp up to 94% and the picture changes. This example computes every intermediate figure at that operating point. a micromobility team needs to check ramp output for a new model, SKU, colorway, battery option, or fleet deployment

The inputs for this scenario

  • Vehicles built per ramp cycle: 35 vehicles / cycle (unchanged)
  • Ramp cycles available in the plan: 20 cycles (unchanged)
  • Expected line uptime during ramp: 94 % (raised for this scenario; the documented default is 82)
  • Launch first-pass yield: 90 % (unchanged)

Working through the calculation

  • Applying the documented formula (Gross ramp build plan = vehicles planned per ramp cycle × available ramp cycles) to the inputs above produces each figure below.
  • At this operating point the engine returns 592 vehicles for good ramp output, the number this scenario is built around.
  • At this operating point the engine returns 700 vehicles for gross ramp build plan.
  • At this operating point the engine returns 42 vehicles for ramp output lost to downtime.
  • At this operating point the engine returns 65.8 vehicles for ramp output lost to launch defects.

How this compares with the baseline

  • Against the tool's baseline example, where expected line uptime during ramp sits at 82% and the headline result is 517 vehicles, this scenario comes in 14.63% above the baseline at 592 vehicles.
  • It computes good ramp output by multiplying the gross build plan by expected uptime and launch first-pass yield, and breaks out how many vehicles are lost to downtime versus to launch defects. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.

Results at a glance

  • Good ramp output: 592 vehicles (headline result)
  • Gross ramp build plan: 700 vehicles
  • Ramp output lost to downtime: 42 vehicles
  • Ramp output lost to launch defects: 65.8 vehicles

Run it with your numbers

  • Every input above is editable in the live Demand Ramp Planner calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.