In: Operations Management
The following data shows the quarterly profit (in thousands of dollars) made by a particular company in the past 3 years.
Year |
Quarter |
Profit ($1000s) |
1 |
1 |
45 |
1 |
2 |
51 |
1 |
3 |
72 |
1 |
4 |
50 |
2 |
1 |
49 |
2 |
2 |
45 |
2 |
3 |
79 |
2 |
4 |
54 |
3 |
1 |
42 |
3 |
2 |
58 |
3 |
3 |
70 |
3 |
4 |
56 |
a. Use α = 0.3 to compute the exponential smoothing values for the time series. Compute MSE and the forecast of profit (in $1000s) for the next quarter.
a:
Formulae to be used:
Absolute deviation= |Forecast - Actual|
MSE= Mean square error = sum of squares of deviation/ no. of periods
· the formula to be used in Simple Exponential smoothing is
Ft+1= alpha*At + (1-alpha) Ft
At means Actual demand of t'th period, if you want to find out the Forecast through exponential smoothing= forecast of 3rd period = alpha*actual demand of 2nd period +(1-alpha) *forecast demand of 2nd period
· remember forecast of 1st period is 45, alpha= 0.3
Period, t | Actual , At | Ft, Exponential Forecast | Absolute deviation= |Forecast - Actual| | squared deviation= (absolute deviation)^2 |
1 | 45 | 45.00 | ||
2 | 51 | 45.00 | 6.00 | 36.00 |
3 | 72 | 46.80 | 25.20 | 635.04 |
4 | 50 | 54.36 | 4.36 | 19.01 |
5 | 49 | 53.05 | 4.05 | 16.42 |
6 | 45 | 51.84 | 6.84 | 46.74 |
7 | 79 | 49.79 | 29.21 | 853.49 |
8 | 54 | 58.55 | 4.55 | 20.70 |
9 | 42 | 57.18 | 15.18 | 230.58 |
10 | 58 | 52.63 | 5.37 | 28.84 |
11 | 70 | 54.24 | 15.76 | 248.36 |
12 | 56 | 58.97 | 2.97 | 8.81 |
194.91 | ||||
MSE |