Question

The following time series represents the hourly customer volume for a small dining establishment. Hour Customer...

  1. The following time series represents the hourly customer volume for a small dining establishment.

Hour

Customer volume

7:00 a.m.

5

8:00 a.m.

5

9:00 a.m.

15

10:00 a.m.

20

11:00 a.m.

30

12:00 noon

50

1:00 p.m.

45

2:00 p.m.

30

3:00 p.m.

40

4:00 p.m.

20

5:00 p.m.

10

  1. Use an exponential smoothing model with α = 0.50 to produce forecasts for this time series.  Assume that the forecast for the 7:00 a.m. time slot is 5 customers.  
  2. What recommendations would you make regarding the use of exponential smoothing in forecasting this time series?
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Answer #1

(a)

Calculations:

0.5 Customer volume Forecast Error Error 1 Alpha 2 Hour 3 7:00 a.m. 4 8:00 a.m. 5 9:00 a.m. 6 10:00 a.m. 7 11:00 a.m. 8 12:00

Results:

0.5 Customer volume Forecast Error Error Alpha Hour 7:00 a.m. 8:00 a.m. 9:00 a.m. 10:00 a.m. 11:00 a.m. 12:00 noon 1:00p.m. 2

(b)

Customer volume Forecast 7.00 a.m. 8:00 a.m. 9:00 a.m. 10:00 a.m. 11:00 a.m. 12.00 noon 1:00p.m. 2:00 p.m. 3:00 p.m. 4:00 p.m

As we can see from the plots, the forecast is underestimating the demand up to 1:00 pm and then from 2:00 pm onwards, it starts overestimating.

This can be improved by selecting the proper values of alpha.

For example, we can select a higher value of alpha=0.9 and observe the results:

Customer volume Forecast 7:00 8:00 a.m. a.m. 9:00 10:00 11:00 12:00 1:00 2:00 3:00 a.m. a.m. a.m. noon p.m. p.m. p.m. 4:00 p.

Customer volume Forecast Error Error Alpha Hour 7:00 a.m. 8:00 a.m. 9:00 a.m. 10:00 a.m. 11:00 a.m. 12:00 noon 1:00p.m. 2:00

Note that with higher values of alpha, the over- underestimating tendency reduces and the MAD also reduces. So, choose a higher value for alpha.

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