2. Which is not a characteristic of exponential smoothing?
(A) smoothes random variations in the data
(B)) weights each historical value equally
(C)has an easily altered weighting scheme
(D) has minimal data storage requirements
(E) smoothes real variations in the data

1.In order to increase the responsiveness of a forecast made using the moving average technique, the number of data points in the average should be: (A)decreased (B) increased (C) multiplied by a larger alpha (D) multiplied by a smaller alpha (E) eliminated if the MAD is greater than the MSE

3. Simple exponential smoothing is being used to forecast demand. The previous forecast of 66 turned out to be five units less than actual demand. The next forecast is 66.6, implying a smoothing constant, alpha ( c ), equal to: (A) 0.01 (B))0.10 (C)0.12 (D) 0.20 (E) 0.60

5. One reason for using the Delphi method in forecasting is: (A) to avoid premature consensus (bandwagon effect) (B)) to achieve a high degree of accuracy (C)to maintain accountability and responsibility (D) to be able to replicate results (E) all of the above

4. Which of the following possible values of alpha (a ) would cause exponential smoothing to respond the most quickly to forecast errors? (A)0 (B)0.01 (C) 0.05 (D)0.10 (E) 0.20

110年 - 110 國立中央大學_碩士班招生考試_工業管理研究所/不分組(一般生):生產作業與管理#103822