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As you can see in the following table, demand for heart transplant surgery at Wa

ID: 457150 • Letter: A

Question

As you can see in the following table, demand for heart transplant surgery at Washington General Hospital has increased steadily in the past few years: The director of medical services predicted 6 years ago that demand in year 1 would be 42.0 surgeries. a) Using exponential smoothing with a of 0.60 and the given forecast for year 1, the forecasts for years 2 through 6 are (round your responses to one decimal place)-. For the forecast made using exponential smoothing with a - 0.60 and the given forecast for year 1, MAD - O surgeries (round your response to one decimal place). Using exponential smoothing with a of 0.90 and the given forecast for year 1, the forecasts for years 2 through 6 are (round your responses to one decimal place). For the forecast made using exponential smoothing with = 0.90 and the given forecast for year 1, MAD = surgeries (round your response to one decimal place). b) Forecasts for years 4 through 6 using a 3-year moving average are (round your responses to one decimal place).

Explanation / Answer

Formula for Exponential smoothing

Alpha * Actual Demand for the last periond + (1- Alpha)* Forecasted Demand for the last period

=0.6*46+(1-0.6)*42 = 44.4

Expential Smoothing for period Three

0.6*48+(1-0.4)*44.4 = 46.56

Exponetial smoothing for period 4

0.6*52+(1-0.6)*46.56 = 49.824

Exponential smoothing for period 5

0.6*54+(1-.06)*49.824 = 52.32

if smoothing Co efficient is 0.9

The new forecasts will

For period 2, Exponential smoothing will be

0.9*46+(1-0.9)*42 = 45.6

For period 3, Exponential smoothing will be

0.9*48+(1-0.9)*45.6 = 47.76

For period 4 , Exponential smoothing will be

0.9*52+(1-0.9)*47.76= 51.576

For period 5, Exponential smoothing will be

0.9*54 +(1-0.9)*51.576 = 53.75

Calculating MAD

Period Forecast

1 42

2 45.6

3 47.76

4 51.576

5 53.75

Average = 48,1376

MAD = ([42-48.1376]+[45.648.1376]+[47.76-48.1376]+[51.576-48.1376]+[53.75-48.1376])/5 = 17.88/5 = 3.57

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