The following table shows the actual demand observed over the last 11 years:
|
Year |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
|
Demand |
88 |
88 |
55 |
99 |
1313 |
99 |
1313 |
1212 |
1010 |
99 |
88 |
Using exponential smoothing with
alphaα
=
0.400.40
and a forecast for year 1 of
7.07.0,
provide the forecast from periods 2 through 12 (round your responses to one decimal place).
|
Year |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
|
Forecast |
7.07.0 |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers).
|
Year |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
|
Forecast |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
nothing |
Using the exponential smoothing method the formula to calculate the forecast is as follows :
Ft = F(t-1) +
[A(t-1) - F(t-1)]
Where Ft = forecast for period t
A(t-1)= actual value for period previous to t
F(t - 1)= forecast for period previous to t
= smoothing constant
So using the above formula with
=0.40 and year 1 forecast of 7.0 the
forecast for year 2 through 12 are
Using a naive approach the forecast for a period is equal to the actual value of the immediately previous period. So using the naive approach the forecast for year 2 through 12 are
The following table shows the actual demand observed over the last 11 years: Year 1...
The following table shows the actual demand observed over the last 11 years: Year 3 4 6 8 9 10 11 1 2 7 Demand 10 6 11 9 12 12 10 8 6 7 0.30 and a forecast for year 1 of 5.0, provide the forecast from periods 2 through 12 (round your responses to one decimal Using exponential smoothing with place) Year 1 3 4 6 8 10 12 2 5 7 9 11 Forecast 5.0 Provide the...
The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 8 8 6 10 11 7 12 13 10 9 8 Using exponential smoothing with a = 0.50 and a forecast for year 1 of 7.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 2 3 4 5 6 7 8 9 10 11 12...
The following table shows the actual demand observed over the last 11 years: 4 6 Year Demand 1 7 2 10 3 4 5 13 8 7 12 8 13 9 8 10 11 11 8 9 Using exponential smoothing with a = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 Forecast 6.0 2 0 3 0 4 0 5 0 6...
The following table shows the actual demand observed over the last 4 years: Year1234Demand88410Using exponential smoothing with a = 0.40 and a forecast for year 1 of 7.0, provide the forecast from periods 2 through 5 (round your responses to one decimal place)Year12345Forecast (ES)7.0Provide the forecast from periods 2 through 5 using the naive approach (enter your responses as whole numbers) Year2345Forecast (NA)
The following table shows the actual demand observed over the last 4 years: ...
The following table shows the actual demand observed over the last 11 years Year 10 11 Demand 7 4 Using exponential smoothing with α = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 round your responses place) one decimal Year 2 4 10 12 Forecast 6.0
The following table shows the actual demand observed over the last 4 years: Year 1 2 3 4 Demand 66 99 66 99 Using exponential smoothing with alphaαequals=0.400.40 and a forecast for year 1 of 5.05.0, provide the forecast from periods 2 through 5 (round your responses to one decimal place). Year 1 2 3 4 5 Forecast (ES) 5.05.0 nothing nothing nothing nothing
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 34 2 37 3 38 4 37 5 40 6 37 7 42 8 44 9 41 10 42 a. Calculate the single exponential smoothing forecast for these data using an ? of 0.20 and an initial forecast (F1) of 34. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 2 3 4 5 6 7 8 9 10 b....
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 27 2 29 3 33 4 41 5 44 6 43 7 44 8 46 9 47 10 41 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 27. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 27 2 27 3 27.6 4 29.22 5 32.75 6...
The following table contains the demand from the last 10 months: MONTH ACTUAL DEMAND 1 33 2 32 3 31 4 38 5 42 6 38 7 42 8 42 9 43 10 43 a. Calculate the single exponential smoothing forecast for these data using an α of 0.20 and an initial forecast (F1) of 33. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 2 3 4 5 6 7 8 9 10