Cumulative Average-time Learning Model | Learning Curve Analysis

The cumulative average-time learning model assumes that the cumulative average time per unit decreases by a set percentage each time the cumulative quantity of units produced doubles. Thus, if a learning curve of 80% is assumed, then the average time per unit would decrease by 20% (100% - 80%) each time the company doubles production (e.g., going from one unit to two units produced).
In the example presented in the video, the cumulative average time per unit is calculated using the following equation:
y = (a) * (X^b)
where
y = cumulative average time per unit
X = cumulative number of units produced
a = time required to produce the first unit
b = [ ln (learning curve % in decimal form) ] / ln 2
For an 80% learning curve, "b" is calculated as follows:
b = ln 0.8/ ln 2 = -0.2231 / 0.6931 = -0.3219-
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[@projectarms97]

Hey Ed, can you explain how you got the 70.21 on Cumulative Average total time per unit? Thanks!

[@will_hunt]

(100+60+53.63)/3

[@felixthomas9911]

How get cumulative no.of production 3 rd unit..?

[@frnandojan6586]

thank you sir

[@RakeshSharma-yd8hk]

Nice nice nice

[@Edspira]

Thanks!

[@varunsinha1605]

Thank you so much.. I was eagerly searching for a good video on Learning curve... my search stops at you as always.

[@salnjoycelascari3775]

Are the individual units times for Xth unit given? If not, how are you calculating those?

[@mercymwanza7715]

This is the exact class example we had😍

[@Edspira]

😂

[@vaishalisharma2369]

Best explaination for sure!