After plotting demand for four periods, an emergency room
manager has concluded that a trend-adjusted exponential smoothing
model is appropriate to predict future demand. The initial estimate
of trend is based on the net change of 27 for the three
periods from 1 to 4, for an average of +9.00 units.
| Period | Actual | Period | Actual |
| 1 | 206 | 6 | 263 |
| 2 | 233 | 7 | 278 |
| 3 | 228 | 8 | 288 |
| 4 | 233 | 9 | 293 |
| 5 | 253 | 10 | |
Use α=.50 and β=.10, and TAF of 245 for period 5. Obtain forecasts
for periods 6 through 10. (Round your intermediate calculations and
final answers to 2 decimal places.)
| t Period | TAFt |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
Answers are in BOLD
| Year | Period, X | Number | Exponential smoothing, Ft | Trend, Tt | forecast including trend, FITt (TAFt) |
| 2009 | 1 | 206 | |||
| 2010 | 2 | 233 | |||
| 2011 | 3 | 228 | |||
| 2012 | 4 | 233 | |||
| 2013 | 5 | 253 | 9.00 | 245.00 | |
| 2014 | 6 | 263 | 249.00 | 9.40 | 258.40 |
| 2015 | 7 | 278 | 260.70 | 9.63 | 270.33 |
| 2016 | 8 | 288 | 274.17 | 10.01 | 284.18 |
| 2017 | 9 | 293 | 286.09 | 10.20 | 296.29 |
| 2018 | 10 | 294.65 | 10.04 | 304.69 |
Ft+1= FITt + alpha*(At+1 – 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)
remember FIT5 = 245
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 5th period is (Actual of 4- Actual of 1)/3= (233-206)/3= 9
FITt= Tt + Ft
After plotting demand for four periods, an emergency room manager has concluded that a trend-adjusted exponential...
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After plotting demand for four periods, an emergency room manager has concluded that a trend-adjusted exponential smoothing model is appropriate to predict future demand. The initial estimate of trend is based on the net change of 30 for the three periods from 1 to 4, for an average of +10 units. Use α = .5 and β = .4, and TAF of 250 for period 5. Obtain forecasts for periods 6 through 10. Period Actual Period Actual 1 210 6...
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