Suppose the quarterly sales for a particular make of a car in Delhi were 2682, 2462
and 3012, respectively. From the past data prior to these three data points, a straight
line was to fit. The value on the line corresponding to the last observed time is 2988
and the slope is 80. Use exponential smoothing based upon the three observations
given above to forecast sales for the quarterly period following these observations,
using α = β = 0 ⋅ .2
Given values of "\\alpha" is 0.2.
By using the exponential smoothing, The forecast sales for the quarterly period is given by the formula-
"F_{i+1}=\\alpha A_i+(1-\\alpha)F_i" , Where i>0
Where F= Forecst sales
A= Sales
The forecast clculated for each quarter is distributed in the table as-
Let us consider the two latest observation (2988,2767.84)
Slope=80
The staright line is -
"y-2767.84=80(x-2988)"
"y=80x-239040+2767.84"
"y=80x-236272.16"
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