1. Learning curves

2. The learning curve Graphic illustration of the productivity change as a function of repetition (or time). It is relatively stable in time, thus we can use it to predictions. Theodore Paul Wright (1936)

3. Learning curve with no change in the task

4. On a log-log graph

5. Idő Learning curve with innovations

6. Based on empirical findings Decrease (%) in time needed is constant for every duplication of the number of repetitions. It is typicaly between 10-20%.

7. Example Learning percentage: 80% First performance time: 10 hrs How much time it needs to finish the 2nd, 4th, 8th and 16th repetition? – 2nd: 10*0,8 = 8 – 4th: 8*0,8 = 6,4 – 8th: 6,4*0,8 = 5,12 – 16th: 5,12*0,8 = 4,1

8. General formula 1) For the n th unit: T n = T 1 * n b b = learning percentage) / ln2 For the 3rd and 4th unit: T 3 = 10*3 (ln0.8/ln2) = 7,02 T 4 = 10*4 (ln0.8/ln2) = 6,40 2) From table: T n = T 1 * coefficient

10. Example 2 We want to produce 20 units. Learning percentage is 80. T1 = 400 hrs. a)How much is the production time for the 20th unit? b)What will be the cumulative production time? What is the average production time? T 20 = 400*20 (ln0.8/ln2) = 152.48  T 20 = 400*10.485 = 4194 4194/20 = 209.7

11. Mass production and learning curves

12. Evaluating employees