A large Portland manufacturer wants to forecast demand for a piece of pollution-control equipment. A review of past sales (A,), as shown below, indicates that an increasing trend is present. Smoothing constants are assigned the values of a = 0.20 and ẞ= 0.4. The firm assumes the initial forecast for month 1 (F1) was 9.00 units and the trend over that period T, was 2.00 units. Using trend-adjusted exponential smoothing, Forecasts (Fr), Trend (T), and Forecasts Including Trend (FIT) for months 1 through 4 have already been developed and are provided below. Continue with the process and determine Fr, T, and FIT, for months 5 and 6 (round your responses to two decimal places): Month Actual Demand (t) (A₂) Forecast (F₂) Trend (T₂) Forecast Including Trend (FIT) 1 10.0 9.00 2.00 11.00 2 18.0 10.80 1.92 12.72 3 24.0 13.78 2.34 16.12 4 20.0 17.70 2.97 20.67 5 22.0 15.26 6 22.0 16.61 7 32.0 8 26.0 9 38.0 10
A large Portland manufacturer wants to forecast demand for a piece of pollution-control equipment. A review of past sales (A,), as shown below, indicates that an increasing trend is present. Smoothing constants are assigned the values of a = 0.20 and ẞ= 0.4. The firm assumes the initial forecast for month 1 (F1) was 9.00 units and the trend over that period T, was 2.00 units. Using trend-adjusted exponential smoothing, Forecasts (Fr), Trend (T), and Forecasts Including Trend (FIT) for months 1 through 4 have already been developed and are provided below. Continue with the process and determine Fr, T, and FIT, for months 5 and 6 (round your responses to two decimal places): Month Actual Demand (t) (A₂) Forecast (F₂) Trend (T₂) Forecast Including Trend (FIT) 1 10.0 9.00 2.00 11.00 2 18.0 10.80 1.92 12.72 3 24.0 13.78 2.34 16.12 4 20.0 17.70 2.97 20.67 5 22.0 15.26 6 22.0 16.61 7 32.0 8 26.0 9 38.0 10
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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
Transcribed Image Text:A large Portland manufacturer wants to forecast demand for a piece of pollution-control equipment. A review of past sales (A,), as shown below, indicates that an increasing trend is present. Smoothing
constants are assigned the values of a 0.20 and ẞ=0.4. The firm assumes the initial forecast for month 1 (F+) was 9.00 units and the trend over that period T, was 2.00 units.
Using trend-adjusted exponential smoothing, Forecasts (F), Trend (T), and Forecasts Including Trend (FIT,) for months 1 through 4 have already been developed and are provided below. Continue with
the process and determine Fr. T, and FIT, for months 5 and 6 (round your responses to two decimal places):
Month
Actual Demand
(t)
(A₂)
Forecast
(Ft)
Trend
(T₁)
Forecast Including
Trend (FIT)
1
10.0
9.00
2.00
11.00
2
18.0
10.80
1.92
12.72
3
24.0
13.78
2.34
16.12
4
20.0
17.70
2.97
20.67
5
22.0
15.26
6
22.0
16.61
7
32.0
8
26.0
9
38.0
10
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