Learning Curves
Learning Curve Analysis
reflects the increased rate at which people perform tasks as they gain experience.
Cumulative AverageTime Learning Model
Incremental UnitTime Learning Model
Evaluates the
average
time per unit required to produce
all
of a given number of units produced
to date, inside
each lot => same time required ex lot 8= 10 min lot=500
units => each item in lot 8 take 10/500=0.02 minutes lot
8= 5
th
, 6
th
, 7
th
, and 8
th
ex: 80% learning curve
Evaluates the time needed to produce the
last unit
in
a quantity of units, we can only know the time of the
1
st
, 2
nd
, 4
th
, 8
th
…and not the total 8 lots just the 8
th
Ex: 80% learning curve
Lot
Time of the # lot
1
1000
2
nd
800
4
th
640
8
th
512
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Units
Lot
(each lot 50 unit)
Average time
per lot
50
1
1000
100 (50 X 2)
2
800
200 (50 X 4)
4
640
400
8
(5
th
, 6
th
, 7
th
, 8
th
)
512
Producing one
lot needs
1000hr
Producing two
lots need 1600
1000
X
(.8
X
2)
Producing four
lots need 2560
1000
X
(.8
X
2)
(.8
X
2)
Producing 8 lots
need 4096
1000
X
(.8
X
2)
(.8
X
2)(.8
X
2)
Producing the
2
nd
lot needs
600hr (1600
1000)
Producing the
P.S learning curve % = (labor cumulative cost B/# unit B)/(labor cumulative cost A/# unit A) see Gleim p60 ex #
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 Spring '11
 Hisham
 Curve Analysis, Learning Curve Analysis

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