How do you calculate good production capacity?

Multiply output per cycle by available cycles to get gross capacity, then multiply by uptime and first-pass yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, gross is 1,920 units and good capacity is about 1,676 units.

What is the difference between gross and good capacity?

Gross capacity (1,920 units here) is the theoretical maximum if nothing stopped and everything passed. Good capacity (1,676 units) is what you can actually ship after losing 192 units to downtime and roughly 52 to yield fallout.

How does first-pass yield affect pipeline planning?

It directly shrinks shippable output. Even a strong 97% yield removes about 52 units here; on a tight-tolerance line at 90% yield the loss would be several times larger and could blow a delivery promise.

What is a good uptime assumption for capacity planning?

For a reasonably run shop, 85-90% uptime is realistic for planning. The example uses 90%, which already costs 192 units against gross — using 100% would over-promise by that margin.

How do I know if my pipeline fits capacity?

Compare the pipeline's committed units against good capacity, not gross. If the pipeline exceeds the 1,676 good units in this example, you are over-committed and need more cycles, better uptime, or to decline volume.

Should I use output per cycle or per hour?

Use whatever cycle definition matches your data — a shift, an hour, or a machine cycle — as long as available cycles uses the same unit. Here output per cycle times available cycles cleanly yields gross capacity.

Manufacturing Sales Engineering, Estimating & Quoting Operations calculator

Sales pipeline capacity fit Calculator

Sales pipeline capacity fit answers a question every job shop eventually faces: can we actually build what sales is about to sell? It takes your real production capacity — output per cycle, available cycles, expected uptime, and first-pass yield — and computes the good units you can realistically ship over a planning horizon. Sales engineers and operations planners use it to sanity-check the pipeline before committing delivery dates, so the front office isn't promising volume the shop floor can't make. The gap between gross and good capacity is where over-promising hides, and this calculation makes that gap explicit.

What this calculator does

Estimate sales pipeline capacity fit for manufacturing sales engineering, estimating and quoting operations using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.
Use it when sales pipeline capacity fit in manufacturing sales engineering, estimating and quoting operations is being asked to take on more work and you need to know if there is room.
It computes saleable (good) output capacity over a horizon by derating gross capacity for expected uptime and first-pass yield.

Formula used

Gross sales pipeline capacity fit capacity = sales pipeline capacity fit output per cycle × available sales pipeline capacity fit cycles
Good sales pipeline capacity fit capacity = gross capacity × expected sales pipeline capacity fit uptime × expected sales pipeline capacity fit first-pass yield

Inputs explained

Deliverable units per production cycle:
Available production cycles in the horizon:
Expected production uptime:
Expected first-pass yield:

How to use the result

Use it when validating pipeline volume against production reality before quoting delivery commitments or accepting large orders.
It uses single average values for uptime and yield; mixed product lines with different yields need to be modeled separately.

Current U.S. benchmarks

The U.S. prime lending rate is 6.75% (Federal Reserve via FRED, 2026-07-02). Payback and financing math should start from today's rate, not a remembered one.
U.S. manufacturing runs at 75.6% of capacity (Federal Reserve, May 2026). New factory orders are up 2.3% year over year (Census).

Common questions

How do you calculate good production capacity? Multiply output per cycle by available cycles to get gross capacity, then multiply by uptime and first-pass yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, gross is 1,920 units and good capacity is about 1,676 units.
What is the difference between gross and good capacity? Gross capacity (1,920 units here) is the theoretical maximum if nothing stopped and everything passed. Good capacity (1,676 units) is what you can actually ship after losing 192 units to downtime and roughly 52 to yield fallout.
How does first-pass yield affect pipeline planning? It directly shrinks shippable output. Even a strong 97% yield removes about 52 units here; on a tight-tolerance line at 90% yield the loss would be several times larger and could blow a delivery promise.
What is a good uptime assumption for capacity planning? For a reasonably run shop, 85-90% uptime is realistic for planning. The example uses 90%, which already costs 192 units against gross — using 100% would over-promise by that margin.
How do I know if my pipeline fits capacity? Compare the pipeline's committed units against good capacity, not gross. If the pipeline exceeds the 1,676 good units in this example, you are over-committed and need more cycles, better uptime, or to decline volume.

Last reviewed 2026-05-12.