Mattress, Bedding & Foam Product Assembly worked example
Throughput Per Shift at 95% line efficiency: a worked example in mattress, bedding & foam product assembly
What does the result look like when line efficiency reaches 95%? The full calculation is worked below with real intermediate numbers. Use this when setting daily production targets, planning staffing for upcoming demand, or evaluating whether your current line can meet a new order without adding overtime or a second shift.
The inputs for this scenario
- Shift length: 8 hr (unchanged)
- Bottleneck cycle time: 5 min / mattress (unchanged)
- Line efficiency: 95 % (raised for this scenario; the documented default is 83)
Working through the calculation
- Applying the documented formula (Available production minutes = shift length × 60 × (line efficiency ÷ 100)) to the inputs above produces each figure below.
- At this operating point the engine returns 1.52 mattresses / shift for effective throughput, the number this scenario is built around.
- At this operating point the engine returns 1.6 mattresses / shift for raw throughput.
- At this operating point the engine returns 95 % for efficiency.
- At this operating point the engine returns 5 hr for runtime.
How this compares with the baseline
- Against the tool's baseline example, where line efficiency sits at 83% and the headline result is 1.33 mattresses / shift, this scenario comes in 14.46% above the baseline at 1.52 mattresses / shift.
- A figure at this level is achievable when line efficiency is genuinely sustained, not just peaked for a shift. It models a single fixed bottleneck and a flat efficiency factor, so it will not capture shifting bottlenecks, changeover-heavy mixed runs, or starvation when upstream foam supply is irregular.
Results at a glance
- Effective throughput: 1.52 mattresses / shift (headline result)
- Raw throughput: 1.6 mattresses / shift
- Efficiency: 95 %
- Runtime: 5 hr
Run it with your numbers
- Every input above is editable in the live Throughput Per Shift calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.