Trailers, Truck Bodies & Specialty Vehicles worked example
Axle Load Distribution at 99% line uptime: a worked example
What does the result look like when line uptime reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when axle load distribution in trailers, truck bodies and specialty vehicles is being asked to take on more work and you need to know if there is room.
The inputs for this scenario
- Units built per production cycle: 4 units / cycle (unchanged)
- Available production cycles: 480 cycles (unchanged)
- Line uptime: 99 % (raised for this scenario; the documented default is 90)
- First-pass yield: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross axle load distribution capacity = units per cycle × available cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 1,844 units for good output capacity, the number this scenario is built around.
- At this operating point the engine returns 1,920 units for gross capacity.
- At this operating point the engine returns 19.2 units for uptime loss.
- At this operating point the engine returns 57.02 units for yield loss.
How this compares with the baseline
- Against the tool's baseline example, where line uptime sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
- A figure at this level is achievable when line uptime is genuinely sustained, not just peaked for a shift. It uses a single blended uptime and yield; a line with a chronic bottleneck station will not behave like this smooth average, so validate against actual station data.
Results at a glance
- Good output capacity: 1,844 units (headline result)
- Gross capacity: 1,920 units
- Uptime loss: 19.2 units
- Yield loss: 57.02 units
Run it with your numbers
- Every input above is editable in the live Axle Load Distribution calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.