Exam 4: Forecasting
Exam 1: Operations and Productivity129 Questions
Exam 2: Operations Strategy in a Global Environment120 Questions
Exam 3: Project Management124 Questions
Exam 4: Forecasting141 Questions
Exam 5: Design of Goods and Services121 Questions
Exam 6: Managing Quality125 Questions
Exam 7: Process Strategy113 Questions
Exam 8: Location Strategies121 Questions
Exam 9: Layout Strategies146 Questions
Exam 10: Human Resources,job Design,and Work Measurement159 Questions
Exam 11: Supply Chain Management145 Questions
Exam 12: Inventory Management165 Questions
Exam 13: Aggregate Planning and Sop116 Questions
Exam 14: Material Requirements Planning Mrpand ERP113 Questions
Exam 15: Short-Term Scheduling116 Questions
Exam 16: Lean Operations116 Questions
Exam 17: Maintenance and Reliability114 Questions
Exam 18: Sustainability in the Supply Chain84 Questions
Exam 19: Statistical Process Control144 Questions
Exam 20: Capacity and Constraint Management101 Questions
Exam 21: Supply Chain Management Analytics67 Questions
Exam 22: Decision-Making Tools100 Questions
Exam 23: Linear Programming98 Questions
Exam 24: Transportation Models89 Questions
Exam 25: Waiting-Line Models119 Questions
Exam 26: Learning Curves110 Questions
Exam 27: Simulation75 Questions
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________ is a time-series forecasting method that fits a trend line to a series of historical data points and then projects the line into the future for forecasts.
(Essay)
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Jim's department at a local department store has tracked the sales of a product over the last ten weeks.Forecast demand using exponential smoothing with an alpha of 0.4,and an initial forecast of 28.0 for period 1.Calculate the MAD.Calculate the tracking signal.What do you recommend?

(Essay)
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Distinguish between a weighted moving average model and an exponential smoothing model.
(Essay)
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Give an example,other than a restaurant or other food-service firm,of an organization that experiences an hourly seasonal pattern.(That is,each hour of the day has a pattern that tends to repeat day after day. )Explain.
(Essay)
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Yamaha manufactures which set of products with complementary demands to address seasonal variations?
(Multiple Choice)
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________ forecasts are concerned with rates of technological progress,which can result in the birth of exciting new products,requiring new plants and equipment.
(Essay)
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The ________ measures the strength of the relationship between two variables.
(Essay)
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A small family-owned restaurant uses a seven-day moving average model to determine manpower requirements.These forecasts need to be seasonalized because each day of the week has its own demand pattern.The seasonal indices for each day of the week are: Monday 0.445;Tuesday 0.791;Wednesday 0.927;Thursday 1.033;Friday 1.422;Saturday 1.478;and Sunday 0.903.Average daily demand based on the most recent moving average is 194 patrons.What is the seasonalized forecast for each day of next week?
(Essay)
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Mean squared error and exponential smoothing are two measures of the overall error of a forecasting model.
(True/False)
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In trend projection,the trend component is the slope of the regression equation.
(True/False)
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Given an actual demand this period of 103,a forecast value for this period of 99,and an alpha of .4,what is the exponential smoothing forecast for next period?
(Multiple Choice)
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Which of the following values of alpha would cause exponential smoothing to respond the SLOWEST to forecast errors?
(Multiple Choice)
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The quarterly sales for specific educational software over the past three years are given in the following table.Compute the four seasonal factors.

(Essay)
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Explain the role of regression models (time series and otherwise)in forecasting.That is,how is trend projection able to forecast? How is regression used for causal forecasting?
(Essay)
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What are the differences between quantitative and qualitative forecasting methods?
(Essay)
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A firm has modeled its experience with industrial accidents and found that the number of accidents per year (y-hat)is related to the number of employees (x)by the regression equation:
y-hat = 3.3 + 0.049x.The r-squared value is 0.68.The regression is based on 20 annual observations.The firm intends to employ 480 workers next year.How many accidents do you project? How much confidence do you have in that forecast?
(Essay)
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________ is a forecasting technique based upon salespersons' estimates of expected sales.
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