Exam 12: Forecasting

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Discuss the importance of accurate forecasts in supply chain management.

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Because of globalization of markets,managers are finding it increasingly more difficult to create accurate demand forecasts.

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A correlation coefficient is a measure of the strength of the linear relationship between an independent and a dependent variable.

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Regression forecasting methods relate _________to other factors that cause demand behavior.

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Many companies are shifting from long-term to short-term forecast for strategic planning.

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For the demand values and the January forecast shown in the table below the exponential smoothing forecast for March using α = 0.40 is For the demand values and the January forecast shown in the table below the exponential smoothing forecast for March using α = 0.40 is

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The weighted moving average forecast for the fifth period with weights of 0.15 for period 1,0.20 for period 2,0.25 for period 3,and 0.40 for period 4,using the demand data shown below is The weighted moving average forecast for the fifth period with weights of 0.15 for period 1,0.20 for period 2,0.25 for period 3,and 0.40 for period 4,using the demand data shown below is

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Because of advances in technology,many service industries no longer require accurate forecasts to provide high quality service.

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A forecasting model has produced the following forecasts: A forecasting model has produced the following forecasts:   The mean absolute deviation (MAD)for the end of May is The mean absolute deviation (MAD)for the end of May is

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The sum of the weights in a weighted moving average forecast

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Long-range qualitative forecasts are used to determine future demand for new products,markets and customers.

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Compare and contrast short-mid-range forecasts and long-range forecasts.

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A gradual,long-term up or down movement of demand is called a trend.

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The moving average method is used for creating forecasts when there is no variation in demand.

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Which of the following is not a type of predictable demand behavior?

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Sharing demand forecasts with supply chain members has resulted in an increased bullwhip effect.

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Forecasts based on mathematical formulas are referred to as qualitative forecasts.

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A seasonal pattern is an oscillating movement in demand that occurs periodically over the short-run and is repetitive.

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A forecasting model has produced the following forecasts: A forecasting model has produced the following forecasts:   At the end of May the tracking signal would be At the end of May the tracking signal would be

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Correlation is a measure of the strength of the

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