Question

In: Operations Management

The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 31...

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.)

Solutions

Expert Solution

· 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.


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