Exam 11: Managing Demand and Forecasting

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Which forecasting technique would you consider for technological forecasts?

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Using sales force estimates for forecasting has the advantage that

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_________ is a method of incorporating a trend in an exponentially smoothed forecast.

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List three quantitative forecasting methods.

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A regression is run on data yielding the following information: a = 10.2 , b = - 0.8 , the coefficient of determination = 0.16. Determine the coefficient of linear correlation.

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Sales force estimates are extremely useful for technological forecasting.

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How are forecast errors classified?

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A backorder is a customer order that cannot be filled immediately but is filled as soon as possible.

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_________ is the prediction of future events used for planning purposes.

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Judgment methods of forecasting should never be used with quantitative forecasting methods.

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Forecasting capacity needs is not generally considered important for service operations due to not having inventory.

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Describe the term collaborative planning, forecasting, and replenishment (CPFR).

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So called cyclical patterns involving gradual increases or decreases in demand over long periods of time cannot be predicted with forecasting.

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The multiplicative seasonal method is most appropriate when the

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Table 11.8 A manager wants to forecast the monthly demand for a machine the company produces. Month No. Machines Sold 1 50 2 65 3 52 4 56 5 55 6 60 -Use the information in Table 11.8. Forecast the demand for the machine for month 7, using the three- month moving average method.

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Distinguish between a moving average model and an exponential smoothing model.

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An independent variable is the measure or quantity being forecast in linear regression analysis.

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A systematic increase or decrease in the mean of a demand time series is referred to as

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_________ forecasts are produced by averaging independent forecasts based on different methods or data or both.

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Time- series analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand.

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