In: Operations Management
The following table contains the demand from the last 10 months:
MONTH | ACTUAL DEMAND |
1 | 31 |
2 | 34 |
3 | 35 |
4 | 39 |
5 | 40 |
6 | 45 |
7 | 45 |
8 | 47 |
9 | 43 |
10 | 44 |
a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 31. (Round your answers to 2 decimal places.)
b. Calculate the exponential smoothing with trend forecast for these data using an α of 0.30, a δ of 0.30, an initial trend forecast (T1) of 1.00, and an initial exponentially smoothed forecast (F1) of 30. (Round your answers to 2 decimal places.)
c-1. Calculate the mean absolute deviation (MAD) for the last nine months of forecasts. (Round your answers to 2 decimal places.)
· the formula to be used in Simple Exponential smoothing is
Ft+1= alpha*At + (1-alpha) Ft
At means Actual demand of t'th period, if you want to find out the Forecast through exponential smoothing= forecast of 3rd period = alpha*actual demand of 2nd period +(1-alpha) *forecast demand of 2nd period
· remember forecast of 1st period is 31, alpha= 0.3
· Alpha= 0.3, Beta= 0.3
· the formula to be used in Exponential smoothing, Ft is
Ft+1= FITt + alpha*(At – FITt)
FITt is Forecast including trend, Ft+1 means Exponential forecast demand of t+1'th period, if you want to find out the Forecast of 3rd period = Forecast including trend of 2nd period + alpha*(Actual demand of 3rd period – Forecast including trend of 2nd period)
· the formula to be used in Trend smoothing, Tt is
Tt+1= Tt + beta*(Ft+1 – FITt)
Ft+1 means Exponential forecast demand of t+1'th period, if you want to find out the Trend smoothing Forecast = forecast of 3rd period = Trend smoothing Forecast of 2nd period + beta*(Exponential forecast of 3rd period – Forecast including trend of 2nd period)
remember Trend of 1st period is 1
· the formula to be used in Forecast including Trend, FIT is
FITt= Tt + Ft
a.
Month, t | Actual , At | Ft, Exponential Forecast | Absolute deviation= |Forecast - Actual| |
1 | 31 | 31.0 | |
2 | 34 | 31.0 | 3.0 |
3 | 35 | 31.9 | 3.1 |
4 | 39 | 32.8 | 6.2 |
5 | 40 | 34.7 | 5.3 |
6 | 45 | 36.3 | 8.7 |
7 | 45 | 38.9 | 6.1 |
8 | 47 | 40.7 | 6.3 |
9 | 43 | 42.6 | 0.4 |
10 | 44 | 42.7 | 1.3 |
4.48 | |||
MAD |
b.
MONTH, t | ACTUAL, At | Exponential smoothing, Ft | Trend, Tt | forecast including trend, FITt | Absolute deviation= |Forecast - Actual| |
1 | 31 | 30.00 | 1.00 | 31.00 | |
2 | 34 | 31.00 | 1.00 | 32.00 | 2.00 |
3 | 35 | 32.60 | 1.18 | 33.78 | 1.22 |
4 | 39 | 34.15 | 1.29 | 35.44 | 3.56 |
5 | 40 | 36.51 | 1.61 | 38.12 | 1.88 |
6 | 45 | 38.68 | 1.78 | 40.46 | 4.54 |
7 | 45 | 41.82 | 2.19 | 44.01 | 0.99 |
8 | 47 | 44.31 | 2.28 | 46.59 | 0.41 |
9 | 43 | 46.71 | 2.31 | 49.02 | 6.02 |
10 | 44 | 47.22 | 1.77 | 48.99 | 4.99 |
2.85 | |||||
MAD |
c: Based on MAD, Exponential smoothing forecast with trend is better.