Supply Chain Essay Example for Free

Supply Chain EssayGradual, long-term movement in time-series data is c all tolded a. seasonal variation b. cycles c. trends d. exponential variation e. random variation Which of the following is not comprise in a time series? a. seasonality b. operational variations c. trend d. cycles e. random variations The fundamental difference between cycles and seasonality is the a. duration of the repeating patterns b. magnitude of the variation c. ability to attribute the pattern to a cause d. all of the above In time series, which of the following cannot be predicted? a. large increases in demand b. technological trends c. easonal fluctuations d. random fluctuations e. large decreases in demand What is the approximate forecast for May using a four-month moving add up?Which time series model below assumes that demand in the next period will be equal to the most recent periods demand? a. naive approach b. moving medium approach c. weight moving average approach d. exponential smoothin g approach e. none of the above Which of the following is not a character of simple moving averages? . it smoothes random variations in the data b. it has minimal data storage requirements c. it weights to each one diachronic value equally d. it smoothes real variations in the data 21. 3 22. A six-month moving average forecast is better than a three-month moving average forecast if demand a. is rather stable b. has been changing due to recent promotional efforts c. follows a downward trend d. follows an upward trend Increasing the egress of periods in a moving average will accomplish greater smoothing, but at the write off of a. manager understanding b. accuracy c. stability d. esponsiveness to changes Which of the following statements comparing the weighted moving average proficiency and exponential smoothing is true?exponential function smoothing is more easily used in combination with the Delphi method. b. More focus can be placed on recent values using the weighted moving average. c. Exponential smoothing is considerably more difficult to implement on a computer. d. Exponential smoothing typically requires less record-keeping of ultimo data. Which time series model uses past forecasts and past demand data to generate a clean forecast? a. naive b. moving average c. weighted moving average d. xponential smoothing Which is not a characteristic of exponential smoothing? a. smoothes random variations in the data b. easily altered weighting scheme c. weights each historical value equally d. has minimal data storage requirements Which of the following smoothing constants would make an exponential smoothing forecast resembling to a naive forecast?