forecast |
actual demand |
error |
|
2Q 2018 |
215 |
||
3Q 2018 |
210 |
||
4Q 2018 |
220 |
||
1Q 2019 |
225 |
||
2Q 2019 |
255 |
||
3Q 2019 |
240 |
||
4Q 2019 |
260 |
||
1Q 2020 |
270 |
||
2Q 2020 |
1. The forecast for 4Q 2019, 1Q 2020, and 2Q 2020 using 3 quarter moving average is shown below: 240, 251.67 and 256.67.
· A 3 period moving average forecasting method can be used for calculating the forecasted value for the 4th period onwards by calculating the average demand of the previous 3 periods.
· Hence, forecast for the 4Q 2019 = (225+255+240)/3 =240.00
· Similarly calculate the forecast for 1Q 2020 and 2Q 2020.
2. The forecast for 4Q 2019, 1Q 2020, and 2Q 2020 using exponential smoothening is shown below:
· Given α = 0.6, 1-α = 0.4
· Assume forecast for 3Q 2019 = 240
· Using exponential smoothening, forecast for a period can be calculated as=
(α)*(demand in previous period) + (1-α)*(forecast of the previous period).
· Hence forecast for 4Q 2019 = (0.6*240)+(0.4*240) = 240
· Forecast for 1Q 2020 = (0.6*260)+(0.4*240) = 252
· Similarly, forecast for 2Q 2020 can be done = 262.80
3. Accuracy can be found from the Mean Average Deviation (MAD) values
· MAD using 3 quarter moving average =
· Mean of the 3 quarter average forecasted values is = (240+251.67+256.67)/3= 249.45
· Subtract each forecasted value from the mean and take the absolute values
· Mean of the absolute values = (9.45+2.23+7.23)/3=6.30
· Hence, MAD = 6.30
· Similarly MAD using the exponential smoothening method = 7.73
· The 3 quarter moving average method is accurate as its MAD is closer
4. Using the weighted average method, forecasts for 4Q 2019, 1Q 2020, and 2Q 2020 = 243, 252.25, 262
· Forecast for 4Q 2019 = (3Q2019 demand * weight)+(2Q 2019 * weight) + (1Q 2019 * weight)
· =(240*0.5)+(255*0.35)+(225*0.15) = 243
· Similarly calculate forecast for 1Q 2020 and 2Q 2020
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