Final answer:
To forecast patient demand for year 6 at Hartville Hospital using exponential smoothing with α = 0.6, we start with the initial forecast equal to the actual demand of year 1 and iteratively apply the smoothing formula. The decision on the forecasting options will depend on the calculation using actual demand from year 5 and the forecast from year 5.
Step-by-step explanation:
To compute the forecast for year 6 using exponential smoothing with a smoothing constant (α) of 0.6, we follow the exponential smoothing formula:
Ft = α * Dt-1 + (1-α) * Ft-1
Where:
Ft is the forecast for the current year,
Dt-1 is the actual demand for the previous year,
Ft-1 is the forecast for the previous year.
Given that the initial forecast for year 1 is the same as the actual demand, which is 45, the subsequent forecasts are calculated as follows:
- For year 2: F2 = 0.6 * 45 + (1-0.6) * 45 = 45
- For year 3: F3 = 0.6 * 50 + 0.4 * 45
- For year 4: F4 is calculated using the demand from year 3 and the forecast from year 3
- For year 5: F5 is calculated using the demand from year 4 and the forecast from year 4
- For year 6: F6, which is our forecast for year 6 (T), is calculated using the demand from year 5 and the forecast from year 5
Since the patient numbers are steadily increasing, we can reject options (a) and (d). The choice between options (b) and (c) will depend on the actual computed value of T.