Question
In: Operations Management
Use exponential smoothing with trend adjustment. Consider T1 = 2, F1 = 12, α alpha =...
Use exponential smoothing with trend adjustment. Consider T1 = 2, F1 = 12, α alpha = 0.2 , delta = 0.3
PART (A) What is your forecast for period 3?
Part (B) What is the related MAD for your forecast?
| Month | Actual Demand |
| 1 | 15 |
| 2 | 25 |
Solutions
Expert Solution
(Please like the answer it will encourage me.)
months forecast absolute actual demand Ft 15 Trend Tt 2.00 1.58 1.85 1 12.00 12.60 15.08 / trend adjusted F 14.00 14.18 16.93 total 25 10.82 11.82 a=0.2 d=0.3 t1 = 2, F1= 12 A) forecast for period 3 = 15.03 B) mean absolute deviation MAD MAD = (11.82/2) 5.91 note: trend adjusted forecast for period 3 is 16.93 and forecast without Trend value is 15.08)
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keosha answered 1 month agoRelated Solutions
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Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
11
13
10
14
12
a) Use α = 0.2 to compute the exponential smoothing
forecasts for the time series.
Week
Time Series
Value
Forecast
1
18
2
11
?
3
13
?
4
10
?
5
14
?
6
12
?
Compute MSE. (Round your answer to two decimal
places.)
MSE =
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a) Use α = 0.2 to compute the exponential smoothing forecasts for the time series.
Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
11
13
10
14
12
a) Use α = 0.2 to compute the exponential smoothing
forecasts for the time series.
Week
Time Series
Value
Forecast
1
18
2
11
?
3
13
?
4
10
?
5
14
?
6
12
?
Compute MSE. (Round your answer to two decimal
places.)
MSE =
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Period
1
2
3
4
5
6
Demand
17
19
15
19
13
18
Question: Use the first-order exponential smoothing model with α = 0.2 to forecast for these data...
Question: Use the first-order exponential smoothing model with
α = 0.2 to forecast for these data and for the
first six months of the third year. Compute MSD/E,
MAD, MAPE, and Bias.
Month
(t)
Demand
A(t)
1
148
2
125
3
78
4
53
5
25
6
29
7
9
8
68
9
84
10
110
11
147
12
120
13
147
14
109
15
96
16
70
17
42
18
36
19
34
20
28
21
71
22
102...
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Period (Month)
Actual Sale of Maggi
1
1100
2
800
3
1000
4
1050
5
1500
6
750
7
700
8
650
9
1400
10
1200
11
900
12
1000
13
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