Learning Curve - Dani Ki Costing - CA Final Video Lectures
Learning Curve - Dani Ki Costing - CA Final Video Lectures | Learning Curve - Dani Ki Costing - CA Final Video Lectures | Learning Curve - Dani Ki Costing - CA Final Video Lectures
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Dani
Ki Costing
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Final
Video Lectures
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Learning
Curve
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Lecture
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Lecture
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The
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Overview on Learning Curve
Learning curve in simple words is numerical calculation of increase
in efficiency and productivity of the worker. This increased efficiency and
productivity of the worker ultimately reduces the cost of production. Learning curve
is also known as Experience Curve, Improvement Curve and Progress Curve. The
experience says that the decreasing cost on each successive unit production
will be in a decreasing trend. Learning curve relationship is denoted
mathematically in equation format as follows:
Y = axb
Where,
Y
= Average time per unit of X units
A
= Time required for first unit
X
= Cumulative number of units produced
b
= Learning Coefficient.
Learning curve
is used by the management in analyzing cost – volume profit relationships,
budgeting and profit planning, pricing decision making and setting standards in
learning phase. Learning curve effect can be known from learning curve ratio
which can be calculated as follows:
Learning Curve
Ratio = Average labour cost of first
2N Units
Average
labour cost of first N units
Learning Curve
effect helps to predict labour cost in advance when a new product or process is
in initial stage as the effect of learning pattern is so regular that helps to
derive uniform at rate of decline. Learning curve proves to be beneficial for
detecting and correcting design bugs, decrease in labour and material cost, and
many more areas. It is also useful in developing tooling methods. Along with
the benefits it also carries certain limitations such as it is of no use when
the date collected is invalid, also all the activities of the unit may not be
subject to learning curve i.e. it may apply to some of the workers only.
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