You bought the machine. You installed the line. Now — how do you know automation is actually working? 🎯📈 Too many factories judge by feel. The best factories judge by numbers, and the numbers start with the right KPIs.

Here are the four garment factory KPIs that tell you whether Mellin automation is earning its keep.

KPI 1: First-Pass Yield (FPY) ✅

First-pass yield is the share of pieces that pass inspection with no rework. Manual lines often sit at 85–93%; automated waistband and pattern stitching routinely pushes it above 97%.

“A 5-point FPY improvement is worth more than a 10% output increase, because rework consumes your most expensive resources twice.” — Mellin production engineering team

KPI 2: Cost per Pair 🧮

Track material + labor + overhead per finished pair before and after automation. With intelligent tension control on the Dahao automatic waistband machine, elastic consumption drops and labor per pair falls, moving this number down every month.

KPI 3: Changeover Time ⏱️

Style changes used to eat entire shifts. The Reynen one-click pattern making waistband machine turns a 30-minute pattern setup into a single click, letting you run more styles per day with the same line.

KPI 4: Operator Utilization 👷

How much of an operator's shift is genuinely productive? On manual lines, waiting, re-positioning and rework can waste 30–40% of the day. Automation lets one operator supervise two or three machines, lifting utilization dramatically.

• 📊 Measure before — capture 2 weeks of baseline data.
• 🔄 Measure during — track the same KPIs weekly after automation.
• 🔁 Compare monthly — watch FPY, cost per pair and changeover converge.

Build Your KPI Dashboard Today 📋

You cannot improve what you do not measure. Pick two KPIs, baseline them this week, and let a Mellin machine on one line show you the difference in 30 days.

👉 Contact Mellin for a KPI-based line assessment and a free payback projection.