Learning Curve Theory.

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4 years ago

T. P Wright of Curtiss - Wright, Buffalo, USA introduced the theory of learning curve.

When the production quantity of a given item is doubled, the cost of that item decrease at a constant rate.

Learning is the process by which an individual acquires skill, knowledge and ability. When a new product or process is started, performance of worker is not at it's best and learning phenomenon takes place. As the experience is gained, the performance of worker improves, time taken per unit reduces and thus his productivity goes up. This improvement in productivity of workers is due to learning effect.

Learning Curve is also known as Experience Curve, Improvement Curve and Progress curve.

The learning effect exist during worker's start up or familiarisation period on a particular job.

After the limits of experimental learning are reached, productivity tends to stabilize and no further improvement is possible.

Learning Curve Ratio

Learning Curve Ratio = ( Average labour cost of first 2N units / Average labour cost of first N unit )

Example

If the average labour cost for first 500 units is $25.00 and the average labour cost for first 1,000 units is $20.00 then,

Learning Curve Ratio = ($20.00/$25.00)X100= 80%

Lower the Learning Curve Ratio is higher the Learning takes place.

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Comments

i got the learning curve ratio...but didn't understand well why it's needed😐

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4 years ago

Nice article..subscribe you me

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4 years ago

Thank you, I subscribed you.

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4 years ago

Welcome dear. Keep in touch

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4 years ago

This rato is mainly used for labour cost management in production process. As the workers gaining experience, they take less time for that work. This is applicable everywhere, like when you join read.cash you don't know what to do, but as the time passes you learn how to get points, which post you should share etc. Using these information you can predict after a month how many average points you can earn.

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4 years ago

Interesting article. I didnt know that until now

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4 years ago

Thank you.

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4 years ago