Question

In: Operations Management

Refer to the gasoline sales time series data in the given table. Week Sales (1000s of...

Refer to the gasoline sales time series data in the given table.

Week Sales (1000s of gallons)
1 17
2 22
3 19
4 23
5 19
6 16
7 21
8 18
9 22
10 21
11 14
12 22
  1. Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.

    Week

    Sales
    4-Week
    Moving Average
    5-Week
    Moving Average
    1 17
    2 22
    3 19
    4 23
    5 19
    6 16
    7 21
    8 18
    9 22
    10 21
    11 14
    12 22
  2. Compute the MSE for the four-week and five-week moving average forecasts. Round your intermediate calculations and final answers to two 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 11.54.

    (three/four/five)

Solutions

Expert Solution

FORECAST = SIGMA(PREVIOUS N DEMANDS) / N

WHERE N = 4

FORECAST 5 = (17 + 22 + 19 + 23) / 4 = 20.25

FORECAST 6 = (22 + 19 + 23 + 19) / 4 = 20.75

FORECAST 7 = (19 + 23 + 19 + 16) / 4 = 19.25

FORECAST 8 = (23 + 19 + 16 + 21) / 4 = 19.75

FORECAST 9 = (19 + 16 + 21 + 18) / 4 = 18.5

FORECAST 10 = (16 + 21 + 18 + 22) / 4 = 19.25

FORECAST 11 = (21 + 18 + 22 + 21) / 4 = 20.5

FORECAST 12 = (18 + 22 + 21 + 14) / 4 = 18.75

FORECAST ERROR


PERIOD

ACTUAL DEMAND

FORECAST

DEVIATION(D - F)

DEVIATION ^2

1

17

2

22

3

19

4

23

5

19

20.25

-1.25

1.5625

6

16

20.75

-4.75

22.5625

7

21

19.25

1.75

3.0625

8

18

19.75

-1.75

3.0625

9

22

18.5

3.5

12.25

10

21

19.25

1.75

3.0625

11

14

20.5

-6.5

42.25

12

22

18.75

3.25

10.5625

SIGMA

-4

98.375



MSE = SIGMA(DEVIATIONS^2) / N, WHERE N = 8

MSE = 98.375 / 8 = 12.3


2. FORECAST 5 MA

FORECAST = SIGMA(PREVIOUS N DEMANDS) / N

WHERE N = 5

FORECAST 6 = (17 + 22 + 19 + 23 + 19) / 5 = 20

FORECAST 7 = (22 + 19 + 23 + 19 + 16) / 5 = 19.8

FORECAST 8 = (19 + 23 + 19 + 16 + 21) / 5 = 19.6

FORECAST 9 = (23 + 19 + 16 + 21 + 18) / 5 = 19.4

FORECAST 10 = (19 + 16 + 21 + 18 + 22) / 5 = 19.2

FORECAST 11 = (16 + 21 + 18 + 22 + 21) / 5 = 19.6

FORECAST 12 = (21 + 18 + 22 + 21 + 14) / 5 = 19.2

FORECAST ERROR


PERIOD

ACTUAL DEMAND

FORECAST

DEVIATION(D - F)

DEVIATION ^2

1

17

2

22

3

19

4

23

5

19

6

16

20

-4

16

7

21

19.8

1.2

1.44

8

18

19.6

-1.6

2.56

9

22

19.4

2.6

6.76

10

21

19.2

1.8

3.24

11

14

19.6

-5.6

31.36

12

22

19.2

2.8

7.84

SIGMA

-2.8

69.2


MSE = SIGMA(DEVIATIONS^2) / N, WHERE N = 7

MSE = 69.2 / 7 = 9.89

3. BASED ON THE MSE VALUES, 5R MONTH MOVING AVERAGE APPEARS TO BE BETTER.

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