BUS 173 Lecture 11

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BUS 173 Lecture

11

Simple Moving Averages

Simple Average

Advantage?

Disadvantage?

Regression

Advantage?

Disadvantage?

Deviation

MAD/MAPE

MSE

Covered in Last Class

Conditions

Stable time series (No significant trends)

Good for short-range forecasts

Two forms

Simple Moving Averages (SMA)

• 3 period

4 period

5 period

Smoothing methods

𝑀𝑜𝑣𝑖𝑛𝑔 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 =

(𝑚𝑜𝑠𝑡 𝑟𝑒𝑐𝑒𝑛𝑡 𝑛 𝑑𝑎𝑡𝑎 𝑣𝑎𝑙𝑢𝑒𝑠) 𝑛

3 period M.A =

(𝑚𝑜𝑠𝑡 𝑟𝑒𝑐𝑒𝑛𝑡 3 𝑑𝑎𝑡𝑎 𝑣𝑎𝑙𝑢𝑒𝑠)

3

(𝑚𝑜𝑠𝑡 𝑟𝑒𝑐𝑒𝑛𝑡 4 𝑑𝑎𝑡𝑎 𝑣𝑎𝑙𝑢𝑒𝑠)

4 period M.A =

4

(𝑚𝑜𝑠𝑡 𝑟𝑒𝑐𝑒𝑛𝑡 5 𝑑𝑎𝑡𝑎 𝑣𝑎𝑙𝑢𝑒𝑠)

5 period M.A =

5

Find out the 3, 4, 5 MA’s for the next example

Simple Moving Averages

Example 1 (Lecture 10 Ex)

Months Demand (in thousand)

December ‘12

January ’13

February ’13

March ’13

April ’13

May ’13

June ’13

July ’13

August ’13

September ’13

October ’13

November ’13

December ’13

January ’14

February ’14

March ‘14

23

28

31

34

37

33

24

20

17

16

20

25

29

31

30

26

Which MA is the best possible forecast in this situation?

How do we find out the effectiveness of the forecasts

MAPE

MSE

Assessing the Forecast

Week

1

2

3

4

5

6

7

8

9

Sales (1000s of gallons)

17

21

19

23

18

16

20

18

22

10

Example 2 – Gasoline

12

Sales

20

15

22

25

20

15

10

5

0

2 3 4 5 6 7 8 9 1 Graph for Example 2 10 11 12

Example 1

MAPE =?

MSE = ?

Use of SMA

Example 2

MAPE =?

MSE = ?

End of Lecture

Thank You

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