How do you calculate dyehouse capacity?

Multiply batch load per cycle by the number of cycles for gross capacity, then multiply by uptime and by right-first-time yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, good capacity is 1,676 units.

What is a good right-first-time rate for dyeing?

Best-in-class dyehouses hit 90-97% right-first-time. Below 85% and re-dyes dominate your losses; in the default the 97% yield only costs about 52 units, while the 90% uptime costs 192.

Why is my gross capacity higher than good capacity?

Gross capacity ignores stoppages and re-dyes. In the example gross is 1,920 units but good is 1,676 — the 244-unit gap is 192 units of downtime loss plus 52 units of yield loss.

Dyehouse capacity vs machine nameplate capacity?

Nameplate assumes 100% uptime and zero re-dyes. Good capacity applies real uptime and right-first-time yield, so it is always lower and is the number you should plan and quote against.

How do I increase good dyehouse capacity?

Attack the bigger loss first. Here downtime (192 units) dwarfs yield loss (52), so improving changeover time and maintenance uptime returns more than chasing an extra point of shade accuracy.

What batch load should I enter?

Enter the average first-quality fabric weight loaded per cycle for the machine class you're planning — a jet dyeing 4 units per cycle behaves very differently from a beck, so run each machine group separately.

Textiles & Apparel Manufacturing calculator

Dyehouse Capacity Calculator

Dyehouse capacity is the realistic amount of first-quality dyed fabric a dyeing operation can deliver in a period after accounting for machine uptime and right-first-time yield. Dyehouse managers, textile planners and merchandisers use it to promise delivery dates and to spot where re-dyes and machine stoppages are quietly eating output. Dyeing is the classic bottleneck in a vertical mill — jigs, jets and becks are expensive and slow — so knowing true good capacity, not nameplate capacity, is what keeps a production plan honest.

What this calculator does

Estimate dyehouse capacity for textiles and apparel manufacturing using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.
Use it when dyehouse capacity in textiles and apparel manufacturing is being asked to take on more work and you need to know if there is room.
It multiplies batch load by scheduled cycles to get gross capacity, then discounts for uptime and right-first-time yield to give good (first-quality) dyed output.

Formula used

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

Inputs explained

Fabric loaded per dye machine cycle (kg):
Scheduled dye cycles in the period:
Machine availability (uptime):
Right-first-time dye yield:

How to use the result

Use it when planning a dyeing schedule or quoting a lead time, and when investigating why promised output isn't landing.
It assumes every cycle runs the same batch load and the same yield; in reality shade-matching batches, heavy vs light shades and substrate changes shift both, so treat the result as a planning average not a per-batch guarantee.

Common questions

How do you calculate dyehouse capacity? Multiply batch load per cycle by the number of cycles for gross capacity, then multiply by uptime and by right-first-time yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, good capacity is 1,676 units.
What is a good right-first-time rate for dyeing? Best-in-class dyehouses hit 90-97% right-first-time. Below 85% and re-dyes dominate your losses; in the default the 97% yield only costs about 52 units, while the 90% uptime costs 192.
Why is my gross capacity higher than good capacity? Gross capacity ignores stoppages and re-dyes. In the example gross is 1,920 units but good is 1,676 — the 244-unit gap is 192 units of downtime loss plus 52 units of yield loss.
Dyehouse capacity vs machine nameplate capacity? Nameplate assumes 100% uptime and zero re-dyes. Good capacity applies real uptime and right-first-time yield, so it is always lower and is the number you should plan and quote against.
How do I increase good dyehouse capacity? Attack the bigger loss first. Here downtime (192 units) dwarfs yield loss (52), so improving changeover time and maintenance uptime returns more than chasing an extra point of shade accuracy.

Last reviewed 2026-05-12.