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A dry cleaner uses exponential smoothing to forecast equipment usage at its main

ID: 472822 • Letter: A

Question

A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 50 percent of capacity; actual usage was 53 percent of capacity. A smoothing constant of 0.4 is used.

   

Prepare a forecast for September. (Round your final answer to 2 decimal places.)

   

   

Assuming actual September usage of 56 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places.)

   

A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 50 percent of capacity; actual usage was 53 percent of capacity. A smoothing constant of 0.4 is used.

Explanation / Answer

Question :

A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 50 percent of capacity; actual usage was 53 percent of capacity. A smoothing constant of 0.4 is used.

St+1=yt+(1)St,0<1,t>0.

a. Prepare a forecast for September. (Round your final answer to 2 decimal places.)

Using exponential smoothing, list all terms for the time series using = 0.4

t = 1
s1 = x0
s1 = 100%

t = 2
st = xt - 1 + (1 - )st - 1
s2 = x2 - 1 + (1 - )s2 - 1
s2 = 0.4(x1) + (1 - 0.4)s1
s2 = 0.4(x1) + (0.6)s1
s2 = 0.4(53%) + (0.6)100%
s2 = 21.2 + 60
s2 = 81.2

t = 3
st = xt - 1 + (1 - )st - 1
s3 = x3 - 1 + (1 - )s3 - 1
s3 = 0.4(x2) + (1 - 0.4)s2
s3 = 0.4(x2) + (0.6)s2
s3 = 0.4() + (0.6)81.2
s3 = 0 + 48.72
s3 = 48.72

Our 3 smoothed values are {100%, 81.2, 48.72}

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b) Assuming actual September usage of 56 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places.)

t = 1
s1 = x0
s1 = 100%

t = 2
st = xt - 1 + (1 - )st - 1
s2 = x2 - 1 + (1 - )s2 - 1
s2 = 0.4(x1) + (1 - 0.4)s1
s2 = 0.4(x1) + (0.6)s1
s2 = 0.4(56%) + (0.6)100%
s2 = 22.4 + 60
s2 = 82.4

t = 3
st = xt - 1 + (1 - )st - 1
s3 = x3 - 1 + (1 - )s3 - 1
s3 = 0.4(x2) + (1 - 0.4)s2
s3 = 0.4(x2) + (0.6)s2
s3 = 0.4() + (0.6)82.4
s3 = 0 + 49.44
s3 = 49.44

Our 3 smoothed values are {100%, 82.4, 49.44}

Forecasting Formula The forecasting formula is the basic equation

St+1=yt+(1)St,0<1,t>0.

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