The owner of At the Beach is forecasting this month's (October's) demand for a new tanning booth based on the historical data given below.
|
Month |
Number of Visits |
|
April |
100 |
|
May |
140 |
|
June |
110 |
|
July |
150 |
|
August |
120 |
|
September |
160 |
a) What is this month’s forecast using the naïve approach?
b) What is this month’s forecast using a three-month simple moving average?
c) What is this month's forecast using a four-month weighted moving average with weights of .4, .3, .2, and .1?
d) What is this month's forecast using exponential smoothing with alpha = .2, if August's forecast was 145?
| 1 | B | C | D | E | F |
| 2 | Month | Number of Visits | Forecast using Naïve approach | Forecast using three month simple moving average | Forecast using four month weighted moving average |
| 3 | April | 100 | |||
| 4 | May | 140 | 100 | ||
| 5 | June | 110 | 140 | ||
| 6 | July | 150 | 110 | 116.67 | |
| 7 | August | 120 | 150 | 133.33 | 131 |
| 8 | September | 160 | 120 | 126.67 | 129 |
| 9 | October | 160 | 143.33 | 141 | |
| 10 | |||||
| 11 | Month | Number of Visits | Forecast using Exponential Smoothing | ||
| 12 | April | 100 | |||
| 13 | May | 140 | |||
| 14 | June | 110 | |||
| 15 | July | 150 | |||
| 16 | August | 120 | 145 | ||
| 17 | September | 160 | 140 | ||
| 18 | October | 144 |
Formula:
| 1 | B | C | D | E | F |
| 2 | Month | Number of Visits | Forecast using Naïve approach | Forecast using three month simple moving average | Forecast using four month weighted moving average |
| 3 | April | 100 | |||
| 4 | May | 140 | =C3 | ||
| 5 | June | 110 | =C4 | ||
| 6 | July | 150 | =C5 | =AVERAGE(C3:C5) | |
| 7 | August | 120 | =C6 | =AVERAGE(C4:C6) | =(0.4*C6)+(0.3*C5)+(0.2*C4)+(0.1*C3) |
| 8 | September | 160 | =C7 | =AVERAGE(C5:C7) | =(0.4*C7)+(0.3*C6)+(0.2*C5)+(0.1*C4) |
| 9 | October | =C8 | =AVERAGE(C6:C8) | =(0.4*C8)+(0.3*C7)+(0.2*C6)+(0.1*C5) | |
| 10 | |||||
| 11 | Month | Number of Visits | Forecast using Exponential Smoothing | ||
| 12 | April | 100 | |||
| 13 | May | 140 | |||
| 14 | June | 110 | |||
| 15 | July | 150 | |||
| 16 | August | 120 | 145 | ||
| 17 | September | 160 | =(0.2*C16)+(0.8*D16) | ||
| 18 | October | =(0.2*C17)+(0.8*D17) |
| 1 | B | C | D | E | F |
| 2 | Month | Number of Visits | Forecast using Naïve approach | Forecast using three month simple moving average | Forecast using four month weighted moving average |
| 3 | April | 100 | |||
| 4 | May | 140 | 100 | ||
| 5 | June | 110 | 140 | ||
| 6 | July | 150 | 110 | 116.67 | |
| 7 | August | 120 | 150 | 133.33 | 131 |
| 8 | September | 160 | 120 | 126.67 | 129 |
| 9 | October | 160 | 143.33 | 141 | |
| 10 | |||||
| 11 | Month | Number of Visits | Forecast using Exponential Smoothing | ||
| 12 | April | 100 | |||
| 13 | May | 140 | |||
| 14 | June | 110 | |||
| 15 | July | 150 | |||
| 16 | August | 120 | 145 | ||
| 17 | September | 160 | 140 | ||
| 18 | October | 144 |
Formula:
| 1 | B | C | D | E | F |
| 2 | Month | Number of Visits | Forecast using Naïve approach | Forecast using three month simple moving average | Forecast using four month weighted moving average |
| 3 | April | 100 | |||
| 4 | May | 140 | =C3 | ||
| 5 | June | 110 | =C4 | ||
| 6 | July | 150 | =C5 | =AVERAGE(C3:C5) | |
| 7 | August | 120 | =C6 | =AVERAGE(C4:C6) | =(0.4*C6)+(0.3*C5)+(0.2*C4)+(0.1*C3) |
| 8 | September | 160 | =C7 | =AVERAGE(C5:C7) | =(0.4*C7)+(0.3*C6)+(0.2*C5)+(0.1*C4) |
| 9 | October | =C8 | =AVERAGE(C6:C8) | =(0.4*C8)+(0.3*C7)+(0.2*C6)+(0.1*C5) | |
| 10 | |||||
| 11 | Month | Number of Visits | Forecast using Exponential Smoothing | ||
| 12 | April | 100 | |||
| 13 | May | 140 | |||
| 14 | June | 110 | |||
| 15 | July | 150 | |||
| 16 | August | 120 | 145 | ||
| 17 | September | 160 | =(0.2*C16)+(0.8*D16) | ||
| 18 | October | =(0.2*C17)+(0.8*D17) |
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