The CEO requested forecasts based on the given historical data. Put your final answers in the table.
Round answers to 3 decimals for each method. Show work for full credit.
Period |
Actual Demand |
3 Month Moving Average |
Moving Average Tracking Signal |
3 Month Weighted Average |
Weighted Average Tracking Signal |
1 |
62 |
X |
X |
X |
X |
2 |
59 |
X |
X |
X |
X |
3 |
48 |
X |
X |
X |
X |
4 |
57 |
56.33 |
59.4 |
||
5 |
60 |
54.66 |
54.4 |
||
6 |
56 |
55 |
52.83 |
||
MAD |
X |
X |
|||
MAPE |
X |
X |
The CEO requested forecasts based on the given historical data. Put your final answers in the table.
Round answers to 3 decimals for each method. Show work for full credit.
Period |
Actual Demand |
Single Exponential Smoothing |
Single Exponential Tracking Signal |
Exponential Smoothing with Trend |
Smoothing with Trend Tracking Signal |
1 |
62 |
60 |
60 |
||
2 |
59 |
||||
3 |
48 |
||||
4 |
57 |
||||
5 |
60 |
||||
6 |
56 |
||||
MAD |
X |
X |
|||
MAPE |
X |
X |
The initial forecast with trend(F1) of 59, and trend (T1) of 1, FIT1= 60, α (alpha) .40 and ? (delta) of .30.
10. Using 3 period Moving Average Forecast method, the forecast would be:
F(6) = {Actual(3) + Actual(4) + Actual(5)}/3
= (52 + 80 + 79)/3
= 70.33
Using the Last Value forecast method, the forecast would be:
F(6) = Actual(5)
= 79
11. Using the exponential smoothing, the forecast would be:
F(4 Years Ago) = 0.8*Actual(5 Years Ago) + (1-0.8)*F(5 Years Ago)
= 0.8*1270 + 0.2*1200
= 1256
F(3 Years Ago) = 0.8*1060 + 0.2*1256
= 1099.2
F(2 Years Ago) = 0.8*1500 + 0.2*1099.2
= 1419.84
F(Last Year) = 0.8*1100 + 0.2*1419.84
= 1163.968
F(Next Year) = 0.8*1030 + 0.2*1163.968
= 1057 Approximately
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