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Using the data in problem 2, prepare exponentially smoothed
- a. α = .1 and F1 = 90
- b. α = .3 and F1 = 90
a)
To develop: The exponential smoothed forecast
Introduction:
Exponential smoothing:
In the exponential smoothing forecast method, older data are given lesser importance, and newer data are given more importance. It is efficient in making short-term forecasts.
Explanation of Solution
Given information:
Forecast for period 1 (F1) = 90
Smoothing constant (α) = 0.1
| Period | Dt |
| 1 | 92 |
| 2 | 127 |
| 3 | 106 |
| 4 | 165 |
| 5 | 125 |
| 6 | 111 |
| 7 | 178 |
| 8 | 97 |
Formula for exponential smoothing:
Calculation of forecast:
The forecast for period 1 is 90.
Period 2:
The forecast for period 2 is 90.2.
Period 3:
The forecast for period 3 is 93.9.
Period 4:
The forecast for period 4 is 95.1.
Period 5:
The forecast for period 5 is 102.1.
Period 6:
The forecast for period 6 is 104.4.
Period 7:
The forecast for period 7 is 105.
Period 8:
The forecast for period 8 is 112.3.
b)
To develop: The exponential smoothed forecast
Introduction:
Exponential smoothing:
In the exponential smoothing forecast method, older data are given lesser importance, and newer data are given more importance. It is efficient in making short-term forecasts.
Explanation of Solution
Given information:
Forecast for period 1 (F1) = 90
Smoothing constant (α) = 0.3
| Period | Dt |
| 1 | 92 |
| 2 | 127 |
| 3 | 106 |
| 4 | 165 |
| 5 | 125 |
| 6 | 111 |
| 7 | 178 |
| 8 | 97 |
Formula for exponential smoothing:
Calculation of forecast:
The forecast for period 1 is 90.
Period 2:
The forecast for period 2 is 90.6.
Period 3:
The forecast for period 3 is 101.5.
Period 4:
The forecast for period 4 is 102.9.
Period 5:
The forecast for period 5 is 121.5.
Period 6:
The forecast for period 6 is 122.6.
Period 7:
The forecast for period 7 is 119.1.
Period 8:
The forecast for period 8 is 136.8.
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