The metrics that matter for garment production
The challenge
Understanding production performance requires looking beyond simple output counts. You need to know not just what got produced, but how efficiently, consistently, and sustainably that production happened. Traditional metrics like pieces-per-hour miss the nuances that separate good performance from declining performance.
Why it happens
Most factory systems measure outcomes but not the underlying behaviors that create those outcomes. A station producing at target might be compensating for poor proficiency with unsustainable pace. Another might show declining output because of increasing stoppage frequency that nobody noticed until the daily report.
Our solution
OpenSeam measures five critical dimensions of station performance: stoppage frequency (how often work halts), pace (speed of actual sewing), proficiency (consistency of execution), stamina (performance sustainability over the shift), and machine runtime (actual needle-in-fabric time). These metrics work together to reveal the complete picture—not just that output is declining, but why.
The outcome
You can diagnose performance issues accurately instead of applying generic solutions. A station with high pace but declining stamina needs different intervention than one with low proficiency but consistent effort. Management discussions shift from "work faster" to specific, actionable improvements based on which metric is actually the constraint. Workers receive fair evaluation based on objective measurements rather than supervisor perception.
How we deliver
All five metrics stream in real-time to your dashboards, updated continuously as production happens. You can view them at individual station level, aggregated by line, or analyzed across shifts and days. Historical trending shows whether interventions worked and helps identify patterns that predict future issues before they impact output.