In: Operations Management
Problem 6-07 (Algorithmic)
Refer to the gasoline sales time series data in the given table.
| Week | Sales (1000s of gallons) |
| 1 | 17 |
| 2 | 22 |
| 3 | 19 |
| 4 | 22 |
| 5 | 19 |
| 6 | 16 |
| 7 | 22 |
| 8 | 17 |
| 9 | 23 |
| 10 | 21 |
| 11 | 14 |
| 12 | 22 |
Week |
Sales |
4 Period Moving Average |
5 Period Moving Average |
| 1 | 17 | ||
| 2 | 22 | ||
| 3 | 19 | ||
| 4 | 22 | ||
| 5 | 19 | ||
| 6 | 16 | ||
| 7 | 22 | ||
| 8 | 17 | ||
| 9 | 23 | ||
| 10 | 21 | ||
| 11 | 14 | ||
| 12 | 22 |
Please refer below table .
We place all the data provided in excel table
We calculate four week and five week moving average as per following formula :
Four week moving average :
Ft = ( At-1 + At-2 + At-3 + A t-4) / 4
Five week moving average :
Ft = ( At-1 + At-2 + At-3 + A t-4+ At-5 ) / 5
Ft = forecast for week t, At , At-1 etc = Actual data for period t, t-1 etc
Squared error = Calculate square of absolute difference forecast data and actual data
|
Week |
Actual data |
Four week moving average |
Squared error |
Five week moving average |
Squared error |
|
1 |
17 |
||||
|
2 |
22 |
||||
|
3 |
19 |
||||
|
4 |
22 |
||||
|
5 |
19 |
20 |
1 |
||
|
6 |
16 |
20.5 |
20.25 |
19.8 |
14.44 |
|
7 |
22 |
19 |
9.00 |
19.6 |
5.76 |
|
8 |
17 |
19.75 |
7.56 |
19.6 |
6.76 |
|
9 |
23 |
18.5 |
20.25 |
19.2 |
14.44 |
|
10 |
21 |
19.5 |
2.25 |
19.4 |
2.56 |
|
11 |
14 |
20.75 |
45.56 |
19.8 |
33.64 |
|
12 |
22 |
18.75 |
10.56 |
19.4 |
6.76 |
|
Total = |
116.44 |
84.36 |
|||
|
Mean Square error (MSE) |
14.55 |
12.05 |
Basis above,
Mean squared error (MSE) :
For 4 week moving average case = Sum of squared error/ 8 i.e. number of data = 14.55
For 5 week moving average case = Sum of squared error /7 i.e. number of data = 12.05
MSE for 3 week moving average = 12.1138
A lower MSE is always desirable since it indicates least difference between actual and forecast data.
Hence 5 week moving average case is the best and is to be used for moving average calculation