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HawksBreeze Inc. ( HBI ) manufactures air purifiers and needs your assistance predicting the demand for its most popular model. In the table below, you

HawksBreeze Inc. (HBI) manufactures air purifiers and needs your assistance predicting the demand for its most popular model. In the table below, you will find the actual demand data from the last 5 months.
Rounding instructions:
Carry all calculations to at least three decimal places.
Enter all forecasts rounded to the nearest tenth (one decimal place).
Enter MAPE as a percentage rounded to the nearest hundredth of a percent (e.g.0.11746 should be entered as 11.75%).
a. In the past HBI has relied on two qualitative approaches for its forecasting: 1) Survey of its sales force; and 2) Executives' opinion. Over the past 5 months, the mean absoulte percent error (MAPE) for the forecast from executives has been 19%. The forecast based on sales force projections is provided below. Compute the MAPE for this forecast and determine which of the two forecasts has performed better over the past 5 months.
Month Actual Demand Sales Force Forecast
1530431
2660832
3718716
4722922
5744695
MAPE for Forecast based on Sales Force Projections: Numeric Response 1.Edit Unavailable. not attempted, incorrect.%
Which forecast performs better according to the MAPE? (Award any ties to the Sales Force) Not attempted.
b. Going forward HBI would like to rely on a more quantitative approach using time series methods. Compute an exponential smoothing forecast for Month 6 with \alpha =0.8
F6= Numeric Response 2.Edit Unavailable. not attempted, incorrect.units.
c. Compute a weighted moving average (WMA) forecast for Month 6 with weights of wt-1=0.1 and wt =0.9.
F6= Numeric Response 3.Edit Unavailable. not attempted, incorrect.units.
d. One key executive would like for you to incorporate trend into your forecast by applying a double exponential smoothing approach starting in Month 5. The executive asks you to use values of \alpha =0.8,\beta =0.3 and start with initial estimates for Period 4 of S4=640 and T4=60. Complete the table to enter the correct double exponential smoothing forecast.
Period Actual Demand
St
Tt
Dbl. Exp. Smoothing Forecast
\alpha =0.8,\beta =0.3
472264060
5744 Numeric Response 4.Edit Unavailable. not attempted, incorrect. Numeric Response 5.Edit Unavailable. not attempted, incorrect. Numeric Response 6.Edit Unavailable. not attempted, incorrect.
6 Numeric Response 7.Edit Unavailable. not attempted, incorrect.

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