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The cumulative average-time learning model

The cumulative average-time learning model



1) In the cumulative average-time learning model, cumulative average time per unit declines by a constant percentage each time the cumulative quantity of units produced doubles.

2) When new products are introduced, learning-curve effects can have a major influence on production scheduling. 


3) It is appropriate to incorporate expected learning-curve efficiencies when evaluating performance. 


4) The cumulative average-time learning model with a 85% learning curve indicates that if it takes 200 minutes to manufacture the first unit of a new model, then the second unit will take only 170 minutes to manufacture. 


5) The incremental unit-time learning model with a 80% learning curve indicates that if it takes 150 minutes to manufacture the first unit of a new model, then the second unit will take only 120 minutes to manufacture. 


6) A learning curve is a function that measures how labor-hours per unit decrease, as units of production decrease. 




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30 Mar 2016

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    The cumulative average-time learning model

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