In: Finance
The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows:
Year |
1 |
2 |
3 |
4 |
5 |
Mileage |
3,050 |
4,050 |
3,450 |
3,750 |
3,750 |
a)Using a 2-year moving average, the
forecast for year 6 (round your response to the nearest whole
number)?.
b) If a 2-year moving average is used to make the
forecast, the MAD based on this (round your response to one decimal
place). (Hint: You will have only 3 years of matched
data.)?
c)The forecast for year 6 using a weighted
2-year moving average with weights of 0.40 and 0.60 (the weight of
0.60 is for the most recent period) = miles (round your response to
the nearest whole number).?
The MAD for the forecast developed using a weighted 2-year moving
average with weights of 0.40 and 0.60 (round your response to one
decimal place). (Hint: You will have only 3 years of matched
data.)?
d) Using exponential smoothing with alpha ? 0.30 and the forecast for year 1 being 3,050, the forecast for year 6 (round your response to the nearest whole number).?
A) Simple moving averages:
The simplest model for extrapolative forecasting is the method of simple moving averages. The model has a single parameter, that is, the number of periods to be considered for computing the moving average.
We have to calculate 2 year Moving Average for period 6.
Formula: Forecast of (N)th = Average (Mileage of (N-1)th, Mileage of (N-2)th)
Year | Mileage | Forecast |
1 | 3050 | |
2 | 4050 | |
3 | 3450 | =Average(3050,4050)=(3050+4050)=3550 |
4 | 3750 | =Average(4050,3450)=(4050+3450)=3750 |
5 | 3750 | =Average(3450,3750)=(3450+3750)=3600 |
6 | =Average(3750,3750)=(3750+3750)=3750 |
So, Forecast of period 6 = 3750
B) Mean Absolute Deviation =
Year(N) | Mileage | Forecast by Simple Moving Average |
Forecast Error =Mileage-Forecast |
Absolute Deviation |
Cumulative Absolute Deviation(CAD) |
Mean Absolute Deviation =CAD/N |
1 | 3050 | |||||
2 | 4050 | |||||
3 | 3450 | 3550 | =3450-3550=-100 | 100 | 100 | =100/3=33.3 |
4 | 3750 | 3750 | =3750-3750=0 | 0 | 100 | =100/4=25 |
5 | 3750 | 3600 | =3750-3600=150 | 150 | 250 | =250/5=50 |
6 | 3750 |
C) Here Wt-1=0.6 ,Wt-2=0.4
Forecast Ft = Mt-1 * Wt-1 + Mt-2 * Wt-2
Year | Mileage(M) |
Forecast by Weighted Moving Average(Ft) |
Forecast Error | Absolute Deviation | Cumulative Absolute Deviation(CAD) |
Mean Absolute Deviation =CAD/N |
1 | 3050 | |||||
2 | 4050 | |||||
3 | 3450 | =4050*0.6+3050*0.4 = 3650 | 200 | 200 | 200 | 66.7 |
4 | 3750 | =3450*0.6+4050*0.4 = 3690 | -60 | 60 | 260 | 65.0 |
5 | 3750 | =3750*0.6+3450*0.4 = 3630 | -120 | 120 | 380 | 76.0 |
6 | =3750*0.6+3750*0.4 = 3750 |
D)
Year | Mileage(Mn) | M* | Fn-1 * (1-) | |
1 | 3050 | 2135 | =M1=3050 | |
2 | 4050 | 915 | ||
3 | 3450 | 1215 | ||
4 | 3750 | 1035 | ||
5 | 3750 | 1125 | ||
6 | 1125 |