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A​ check-processing center uses exponential smoothing to forecast the number of incoming checks each month. The number of checks received in June was 38 ​million, while the forecast was 43 million. A smoothing constant of 0.20 is used. ​a) Using exponential smoothing and given alpha​, the forecast for the month of July​ = nothing million checks received ​(round your response to one decimal​ place). ​b) If the​ check-processing center received 44 million checks in the month of​ July, then using exponential smoothing and given alpha​, the forecast for the month of August​ = nothing million checks received ​(round your response to one decimal​ place). ​c) Exponential smoothing may not be an appropriate method to use for the​ check-processing center​ because: A. the​ check-processing center should observe an increasing trend in its processing requirements. B. the​ check-processing center should observe seasonality in its processing requirements. C. the

Respuesta :

Answer:

Follows are the solution to this question:

Explanation:

In point A:

[tex]\text{Accelerating layering Forecast July= }[/tex][tex](\text{Actual demand of June} \times 0.20) + ( \text{Forecast demand of June} \times (1 - 0.20))[/tex]

[tex]= ( 38 \times 0.2) + ( 43 \times 0.8)\\\\= 7.6+ 34.4\\\\=42[/tex]

In point B:

[tex]\to Forecast \ \ August = (44 \times 0.2) + ( 43.2 \times 0.8)[/tex]

                                 [tex]=8.8+34.56 \\\\=43.36[/tex]

In option C:

Its right choice is to track the seasonality of the processing requirements of the control centre.

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