Ramp-Up, Learning Curve and Design Freeze

Lesson 30.5
12 minOpsida Teknoloji · Last reviewed: October 30, 2026

In one sentence

The learning curve is a planning assumption; the standard time and the design freeze decision are updated only with comparable measurement, quality and safety evidence.

By the end of this lesson

  • Calculate the times of the 100th, 200th and 400th product in an 80% unit-time learning model.
  • Separate the weekly target quantity from the cumulative product number and from the batch average.
  • Convert a new observation into a standard time using the performance rating and the allowance base.
  • Stop the design freeze decision when capacity, training, quality or safety evidence is missing.

Why it matters

In the first production period of a new product, workers get to know the part, tool placement is corrected and the work sequence is applied more consistently. Times may fall for this reason. But not every fall is learning. Material may have arrived better prepared, inspection may have been moved outside, an experienced helper may have been added or the measurement boundary may have changed. The learning curve is a planning model that explains how unit time may change as cumulative production grows within a comparable scope. It does not by itself prove the cause of the observed fall. Moreover, speeding up by breaking the safe method cannot be counted as learning success. The standard time is not updated without knowing the nature of the change that lowered the time; first it is verified that the work done is the same work.

In this lesson the 80% learning rate belongs to the unit-time model. When cumulative production doubles, the model time of the product at that position becomes 80% of the previous one. This does not mean 80% time savings; the reduction between two doublings is 20%. Nor does it mean the average time of the whole batch. The model point belonging to a specific product differs from the total load of the products in between. The weekly quantity is not the cumulative product count either. If these distinctions are not kept, correct multiplications turn into a wrong capacity result. The name of the model, its starting point and its validity condition must be written together with the calculation; sharing only a percentage is not enough.

Ramp-up is broader than growing the quantity by the calendar. At each ramp-up stage, resource sufficiency, worker competence, first-time conformance and safety conditions are reassessed. Adding a new worker does not mean the whole team is at the same learning level. If the product or fixture changes, the earlier time series may not be continued directly. When the scope changes while the cumulative count grows, the model may appear to fit well. For this reason the method version and the product condition of the measurements are preserved. Training capacity and production capacity are tracked separately. The time of the person who gives support during training must also be visible in the resource plan.

Freezing the design does not mean saying that no change can be made any more. It means taking the verified product and process conditions as the basis and running later changes in a controlled way. The work sequence, fixture, inspection method, resource arrangement and training requirement of the frozen scope become clear. If there is an open problem, its limit and the decision are stated; a safety gap cannot be closed by the calendar. Declaring capacity only according to the short time the curve promises goes against this discipline. The measurement chain in M3 is preserved: first the defined method, then comparable observation, performance rating and the allowance on the right base. A new standard becomes defensible only with this chain.

Formula

Unit-time model: t(2n) (min/unit) = t(n) × Learning rate

After two doublings t(4n) (min/unit) = t(n) × Rate²

Normal time (min/unit) = Observed average (min/unit) × Performance rating ÷ 100

Standard time on a normal-time base (min/unit) = Normal time × (1 + Allowance rate)

Theoretical planning limit (units/week) = Net resource time (min/week) ÷ Verified standard time (min/unit)

Conversion of an observed time into a standard time through the performance rating and an allowance on a normal-time base.Observed time46 sNormal time = 46 × 110 ÷ 10050.6 sStandard time = 50.6 × 1.1457.68 s+4.6+7.084Rating adjustment: 110 ÷ 100Allowances: 5 + 6 + 3 = %1457.684 → 57.68 s
In a separate training example, a 46 s observation and a 110% rating give a 50.6 s normal time. With an allowance of 5%+6%+3% = 14% on the normal-time base, the standard is 50.6×1.14 = 57.684 s, which is 57.68 s to two decimals. The learning estimate does not replace this measurement chain. This dataset was generated synthetically for training; it does not represent a real business, employee or customer study.

Unlock the rest of this lesson with an Academy account

Create a free Academy account with your work email address; it can be used once it is approved.

  • Step-by-step instructions
  • Worked example with real numbers
  • Where the method misleads
  • Common mistakes
Create a free Academy account