Production Learning Curve Time Calculator
Compare cumulative-average and individual-unit learning models and calculate time for an additional batch.
YOUR CALCULATION
Result
—
Calculation steps
Work through one step at a time or reveal the complete calculation. The steps use your current inputs.
How to calculate
Convert the entered doubling slope into a power-law exponent. Apply it either to cumulative average time or to individual-unit time, then calculate the additional batch using the full experience index.
b=log(slope)/log(2); Wright cumulative total=T1×n^(1+b); Crawford unit n=T1×n^b
Worked example
With first-unit time 10 h and an 80% slope, Wright cumulative average at four units is 6.4 h and total is 25.6 h. Its fourth marginal unit time differs from Crawford fourth-unit time of 6.4 h.
Assumptions and input details
Entered learning slope is a scenario, not measured performance. Wright and Crawford apply the same slope to different quantities and should not be interchanged. Slopes greater than 50% through 100% keep Wright cumulative time increasing. At most 10000 total units. No setup time, forgetting, batch interruptions, labor availability or calendar scheduling is modeled.
References: US GAO: Cost Estimating Guide, learning curve analysis
Unit definitions
Unit selection is independent of language. Each selector contains only units for its physical quantity. Calculations use defined base units internally.
Using this calculator
Can I enter my own problem?
Yes. Replace the example values with your own inputs. The result, calculation steps, tables and applicable diagrams update from those inputs. Blank or invalid values clear the result; example values are never silently substituted for missing inputs.
Are the results exact?
Results use floating-point arithmetic and displayed rounding. Read the formula, assumptions and any stated data precision before interpreting the result.
Is my input uploaded?
The calculation runs in your browser. No account, file upload or external AI service is required. Inputs are not saved between page reloads.
Evaluate paired actual and forecast values with signed bias, absolute errors and explicitly defined percentage metrics.
Calculate how long two constant-rate workers, machines or pipes take together. Include an opposing drain and an already-completed fraction, with a progress graph.
Compute Pearson chi-square, expected counts, an approximate p-value and Cramer’s V for a contingency table.
Reserved advertising space.