New styles don't start at full efficiency — and plans that pretend they do are late by design. Rytplan makes day-wise ramp-up part of scheduling itself: auto-selected per order, carried forward on continuations, and honest in every delivery date.
Tell us about your factory and we'll set up a trial. Your company data stays private to your company.
Define day-wise efficiency ramps in a visual editor — how your lines really climb from day 1 to peak, per product family or complexity band.
Curves auto-attach by style SAM and order quantity, so every strip on the board carries the right ramp without the planner thinking about it.
Strip lengths, line capacity, re-planning and delivery estimates all use the curve — day 1 output is planned as day 1 output, not as a peak-efficiency fiction.
Most tools treat learning curves as a report you compute after planning. In Rytplan the curve is part of the schedule itself — the same ramp that stretches a strip on the board also shapes capacity, re-planning and every delivery estimate.
A style’s first days on a line are planned at first-day efficiency — the board shows the strip longer in week one than week three, and delivery dates account for it.
When a style continues on the same line, the curve carries forward from where it left off. Only a real gap restarts the ramp — the plan knows the difference.
The board, automated re-planning and capacity views all read the same curves. There’s no side spreadsheet where ramp-up is calculated differently.
Build a library of curves as day-wise efficiency graphs. Standardise per product family, complexity, or however your factory thinks about changeovers.
Bands on style SAM and order quantity pick the right curve automatically — consistent planning logic instead of each planner’s gut feel.
Adjacent runs of the same style on a line continue the ramp instead of restarting it — repeat orders are planned faster than fresh ones, exactly as the floor behaves.
Your data is isolated to your company — no other company can ever see it. Export or delete it anytime.
When a sewing line changes to a new style, it doesn’t produce at standard efficiency on day one. Operators are learning the operations, the method is settling, supervisors are fixing balance problems, and quality checks are strictest exactly when the line is slowest. Output climbs day by day — often starting near half of standard and taking days or weeks to reach peak, depending on style complexity and how different it is from the previous run.
That climb is the learning curve, and it’s one of the biggest hidden costs in apparel manufacturing. SMV tells you what a line can do at peak; the learning curve tells you what it will actually do this week.
A plan built on flat efficiency promises full output from the first hour of a changeover. Reality delivers a fraction of that, the shortfall rolls forward, and by mid-order the line is days behind a plan that was never achievable. Planners compensate with guess-buffers — padding every changeover “to be safe” — which hides real capacity and makes every delivery quote a negotiation.
Neither extreme works: no ramp means chronic lateness, blanket padding means quoting longer lead times than your factory needs. The fix is planning with the ramp itself.
In Rytplan, learning curves are first-class planning objects. You define day-wise efficiency ramps once, and bands on SAM and quantity attach the right curve to each order automatically. The planning board then stretches every production strip to match — first days planned at first-day efficiency, capacity and delivery dates computed from the ramp, not from a peak-efficiency fiction.
The engine also understands continuity: when the same style runs adjacently on a line, the curve continues from where it left off instead of restarting, and a genuine gap starts the ramp fresh. Re-planning keeps all of it intact — move orders around and the curves recompute with them. The result is a plan whose first week is as honest as its last.
Learning curves are part of Rytplan — the same engine that runs your planning board, TNA and re-planning. Request a trial for your team.