Mining Vehicle & Underground Equipment calculator

Final Test Capacity Calculator

Final Test Capacity tells you how many mining machines will actually clear final test and ship in a period, after uptime and first-pass-yield losses are taken out. Production planners and test-cell managers for haul trucks, LHDs, and underground loaders use it because final test is usually the bottleneck: a single bay running brake, hydraulic, traction, and safety-interlock checks gates the whole plant. Gross capacity looks generous on a spreadsheet, but a test rig that is down for calibration or that fails machines on first pass quietly erodes ship counts. This calculator separates the headline good capacity from the downtime and yield losses so you know where the shippable units are leaking.

What this calculator does

  • Estimate final test capacity for mining vehicle and underground equipment using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.
  • Use it when final test capacity in mining vehicle and underground equipment is being asked to take on more work and you need to know if there is room.
  • It computes good (shippable) final-test capacity by derating gross capacity for test-bay uptime and first-pass yield, and breaks out the downtime and yield losses.

Formula used

  • Gross final test capacity = final test capacity output per cycle × available final test capacity cycles
  • Good final test capacity = gross capacity × expected final test capacity uptime × expected final test capacity first-pass yield

Inputs explained

  • Machines passing final test per cycle:
  • Available final-test cycles in the period:
  • Final-test bay uptime:
  • Final-test first-pass yield:

How to use the result

  • Use it when committing a monthly ship plan, sizing a second test bay, or quantifying what a uptime or yield improvement is worth in extra machines.
  • It assumes one representative cycle time and steady yield. Mixed models with very different test durations need to be run separately or weighted, or the gross figure will be optimistic.

Current U.S. benchmarks

  • U.S. light vehicles sell at a 16.9 million annual rate (BEA, Jun 2026), up 4.1% from a year earlier, the volume signal for automotive supply chains.
  • Steel mill PPI stands at 348.53 (BLS, May 2026), up 6.7% from a year earlier. New factory orders are up 2.3% year over year (Census).
  • The U.S. has 11,691 transportation equipment establishments employing about 1,682,910 workers (Census County Business Patterns, 2023).

Common questions

  • How do you calculate final test capacity? Multiply output per cycle by available cycles to get gross capacity, then multiply by uptime and first-pass yield to get good capacity. With 4 units per cycle, 480 cycles, 90% uptime, and 97% yield, gross is 1920 and good capacity is 1676 machines.
  • What is the difference between gross and good final-test capacity? Gross capacity is the theoretical ceiling assuming the bay never stops and every machine passes first time. Good capacity subtracts downtime and rework: in the worked example, 192 units are lost to downtime and about 52 to yield, leaving 1676 shippable.
  • What is a good first-pass yield at final test? For complex mining vehicles, first-pass yield at final test commonly sits in the low-to-mid 90s because of fluid leaks, fault codes, and interlock trips found on the rig. The 97% in the example is strong; dropping to 90% would cut roughly another 130 machines from the same plan.
  • Why does uptime matter so much for a single test bay? When final test is a single-bay bottleneck, every hour of calibration, fixture changeover, or breakdown is throughput you never recover. The example loses 192 units, about 10% of gross, purely to the 90% uptime figure.
  • How do I use this to justify a second test bay? Compare good capacity against your ship commitment. If demand exceeds the 1676 good units here, model the second bay by raising available cycles and see whether the extra shippable machines cover its cost.

Last reviewed 2026-05-12.