The data given is as under:
A) LINEAR TREND EQUATION
A linear trend equation can be computed using MS excel, plotting a graph and adding a trendline to it.
The linear trend equation is, Y = 1.8214 X + 14.286
For the month of September (x=8), the forecast would be
= (1.8214 x 8) + 14.286 = 28.8572 Units = 29 Units approx.
B) FIVE MONTH MOVING AVERAGE
The average of last five months (Apr-Aug) will be taken as the new forecast for September
= (7+25+18+28+30)/5 = 21.6 units
C) EXPONENTIAL SMOOTHING
Smoothing constant = 0.20
March Forecast = 18 units
The formula for exponential smoothing forecast is-
Forecast (next month) = Forecast (current month) + [Smoothing constant x )Actual(current month) - Forecast(current month) ) ]
The forecasted values are as under,
The forecast for the month of september is = 22.143 units
D) NAIVE APPROACH gives the last month actual sales as the new forecast.
The forecast for the month of September = Actual sales in Aug = 30 Units
E) WEIGHTED AVERAGE APPROACH
Aug = 0.60, July = 0.20, June = 0.20
Forecast for Sep = (Wt. of Aug X Actual sales in Aug) + (Wt. of July X Actual sales in July) + (Wt. of June X Actual sales in June)
= (0.60 x 30) + (0.20 x 28) + (0.20 x 18) = 27.2 Units
Problem 3-2 National Scan, Inc., sells radlo frequency Inventory tags. Monthly sales for a seven-month period...
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