Comments on: F5 Revision

By: akintunde oyebode

akintunde oyebode — Mon, 11 May 2009 13:56:56 +0000

Y represents the average cost of different quantities (X) of units. The significance of the “cum” in cum average is that the average costs are computed for X cumulative units.

By: A.shah

A.shah — Sun, 10 May 2009 13:57:45 +0000

This means that y=ax^b. In other words I would say that the cost of the first batch multipe by the cumulative number of units by log2 (or learning curve) = the average time per unit (or the average cost per unit).

By: A.shah

A.shah — Sun, 10 May 2009 13:52:01 +0000

The answer is y is the average cost per batch of x which is the total number of batches produced by the b which is the learning factor multiple by the a which is the cost of the first batch. This means that y=ax^b. In other words I would say that the cumulative number of units by log 2 ( or learning curve) by the cost of the first batch is the average time per unit (or the average cost per unit).

By: duro owodunni

duro owodunni — Fri, 08 May 2009 08:36:17 +0000

the reltionship is y=ax to the power of b
where y=cummulative number of unit
x=number of unit made so far
a=cost of the first unit
b=learning co-efficient or index/log of 2

By: duro owodunni

duro owodunni — Fri, 08 May 2009 08:33:36 +0000

the relationship is Y=ax to the power of b
where y=cummulative number of unit

By: Swati

Swati — Fri, 08 May 2009 08:25:50 +0000

Learning curve is chart line representing the efficiencies gained from experience. Basically, it is a curve describing the relationship between the consecutive number of units produced (x-axis) and the time per unit produced (y-axis). More specifically, it is based on the statistical findings that as the cumulative output doubles, the cumulative average labor input time required per unit will be reduced by some constant percentage, ranging between 10% and 40%. The curve is usually designated by its complement. For example, if the rate of reduction is 20%, the curve is referred to as an 80% learning curve.
Applications of the learning curve theory include (1) pricing decisions, based on the estimates of expected costs; (2) requirements for scheduling labor; (3) capital budgeting decisions; and (4) setting incentive wage rates.

By: Zarna Shah

Zarna Shah — Thu, 07 May 2009 21:35:05 +0000

the basic principal applies, as the cumulative quantity doubles the average time or cost per unit decreases by a fixed percentage of the previous average time or cost.Each time cumulative production is doubled, the cumulative average time per unit is reduced by constant percentage.eg if x=cumulative units then y=average time of cost.