In: Operations Management
The following data are monthly sales of jeans at a local department store. The buyer would like to forecast sales of jeans for the next month, July.
(a) Forecast sales of jeans for March through June using the
naïve method, a two-period moving average, and exponential
smoothing with an ? = 0.2. (Hint: Use naïve to start the
exponential smoothing process.)
(b) Compare the forecasts using MAD and decide which is best.
(c) Using your method of choice, make a forecast for the month of
July.
Month | Sales |
January | 45 |
February | 30 |
March | 40 |
April | 50 |
May | 55 |
June | 47 |
Please refer below table highlighting relevant calculations :
Month |
Actual sales |
Forecast ( Naïve method) |
Absolute deviation |
Forecast ( 2 period moving average) |
Absolute deviation |
Forecast ( Exponential smoothing) |
Absolute deviation |
January |
45 |
||||||
February |
30 |
45 |
15 |
45 |
|||
March |
40 |
30 |
10 |
37.5 |
2.5 |
42 |
2.00 |
April |
50 |
40 |
10 |
35 |
15 |
41.6 |
8.40 |
May |
55 |
50 |
5 |
45 |
10 |
43.28 |
11.72 |
June |
47 |
55 |
8 |
52.5 |
5.5 |
45.62 |
1.38 |
July |
47 |
51 |
45.90 |
||||
SUM = |
48 |
33 |
23.50 |
Following to be noted :
Forecasted value as per Naïve method :
Ft = At-1 , Ft = Forecast for period t and At-1 = Actual sales for period t-1
Forecasted value as per 2 period moving average :
Ft = ( At-1 + At-2 ) /2 , Ft = forecast for period t , At-1 , At-2 = actual sales for period t-1 and t-2 respectively
Forecasted value as per exponential smoothing method :
First we determine forecasted value for February = 45 as per Naïve method
Subsequently :
Ft = alpha x At-1 + ( 1 – alpha) x Ft-1
= 0.2 x At-1 + 0.8 x Ft-1
Where, alpha = exponential smoothing forecast = 0.2
Also to be noted:
Absolute deviation = Absolute difference between actual sales value and forecasted value
Mean absolute deviation ( MAD) = Sum of absolute deviation / Corresponding number of observations
Based on above definition of MAD ,
MAD for forecast as per Naïve method = 48/5 = 9.6
MAD for forecast as per 2 period moving average = 33/ 4 = 8.25
MAD for forecast as per exponential smoothing method = 23.5 / 4 = 5.875
Since MAD for exponential smoothing forecast is the LOWEST , Exponential smoothing forecast is the best
FORECAST FOR JULY AS PER NAÏVE METHOD = 47 |
FORECAST FOR JULY AS PER 2 PERIOD MOVING AVERAGE = 51 |
FORECAST FOR JULY AS PER EXPONENTIAL SMOOTHING METHOD = 45.90 |