Exam 10: Managing Demand and Forecasting

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What is a tracking signal? How is it calculated? Explain the connection between adaptive smoothing and tracking signals.

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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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Table 10.5 Month Demand (Units) July 240 August 310 September 280 October 250 -Use the information in Table 10.5.Using the exponential smoothing method,with alpha equal to 0.2,what is the forecasted demand for November? Use an initial value for the forecast (July)equal to 277 units.

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Define and discuss market research as it applies to forecasting.

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Which one of the following statements about forecasting is FALSE?

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Explain the coefficient of determination.

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

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Discuss two guidelines that help when searching for the best time series models.

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Which of the following is an example of a judgmental forecasting technique?

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When a trend is present,exponential smoothing always will be below or above the actual demand.

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Table 10.8 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 10.8.Forecast the demand for the machine for month 7,using the three-month moving average method.

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

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Aggregation is the act of clustering several similar products or services.

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A(n)________ forecast is a time-series method whereby the forecast for the next period equals the demand for the current period.

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Promotional campaigns are designed to increase sales with creative pricing.

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A quantitative approach is applied when using the Delphi forecasting method.

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A tracking signal greater than zero and a mean absolute deviation greater than zero imply that the forecast has

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Doctors,dentists,lawyers,and automobile repair shops are examples of service providers that use appointment systems.

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Table 10.3 Week Patient Arrivals 1 401 2 380 3 411 4 384 -Use the information in Table 10.3.If the actual number of patients is 415 in week 5,what is the forecast for week 6 using a three-week moving average forecast?

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Why are forecasts for product families typically more accurate than forecasts for the individual items within a product family?

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