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In: Operations Management

Problem 6-07 (Algorithmic) Refer to the gasoline sales time series data in the given table. Week...

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
  1. Compute four-week and five-week moving averages for the time series. If required, round your answers to two decimal places.

    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
  2. Compute the MSE for the four-week and five-week moving average forecasts. If required, round your intermediate calculations to four decimal places and round your final answers to three decimal places.

    MSE for four-week moving average =

    MSE for five-week moving average =
  3. What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Recall that MSE for the three-week moving average is 12.138.

Solutions

Expert Solution

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


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