Exam 4: Forecasting
Exam 1: Operations and Productivity126 Questions
Exam 2: Operations Strategy in a Global Environment119 Questions
Exam 3: Project Management120 Questions
Exam 4: Forecasting141 Questions
Exam 5: Design of Goods and Services118 Questions
Exam 6: Managing Quality123 Questions
Exam 7: Process Strategy108 Questions
Exam 8: Capacity and Constraint Management96 Questions
Exam 9: Location Strategies120 Questions
Exam 10: Layout Strategies146 Questions
Exam 11: Human Resources, job Design, and Work Measurement154 Questions
Exam 12: Supply Chain Management144 Questions
Exam 13: Inventory Management163 Questions
Exam 14: Aggregate Planning and Sop116 Questions
Exam 15: Material Requirements Planning Mrpand Erp113 Questions
Exam 16: Short-Term Scheduling116 Questions
Exam 17: Jit, tps, and Lean Operations115 Questions
Exam 18: Maintenance and Reliability111 Questions
Exam 19: Sustainability in the Supply Chain80 Questions
Exam 20: Statistical Process Control144 Questions
Exam 21: Supply Chain Management Analytics55 Questions
Exam 22: Decision-Making Tools97 Questions
Exam 23: Linear Programming80 Questions
Exam 24: Transportation Models89 Questions
Exam 25: Waiting-Line Models119 Questions
Exam 26: Learning Curves105 Questions
Exam 27: Simulation75 Questions
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A trend projection equation with a slope of 0.78 means that there is a 0.78 unit rise in Y per period.
(True/False)
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The smoothing constant is a weighting factor used in ________.
(Short Answer)
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An approach to exponential smoothing in which the smoothing constant is automatically changed to keep errors to a minimum is called ________.
(Short Answer)
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If Brandon Edward were working to develop a forecast using a moving averages approach,but he noticed a detectable trend in the historical data,he should:
(Multiple Choice)
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For a given product demand,the time-series trend equation is 53 - 4x.The negative sign on the slope of the equation:
(Multiple Choice)
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Identify the four components of a time series.Which one of these is rarely forecast? Why is this so?
(Essay)
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A skeptical manager asks what long-range forecasts can be used for.Give her three possible uses/purposes.
(Essay)
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Demand for a certain product is forecast to be 800 units per month,averaged over all 12 months of the year.The product follows a seasonal pattern,for which the January monthly index is 1.25.What is the seasonally-adjusted sales forecast for January?
(Multiple Choice)
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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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Gradual upward or downward movement of data over time is called:
(Multiple Choice)
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A forecast based on the previous forecast plus a percentage of the forecast error is a(n):
(Multiple Choice)
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Weekly sales of copy paper at Cubicle Suppliers are provided in the table below.Compute a three-period moving average and a four-period moving average for weeks 5,6,and 7.Compute the MAD for both forecasting methods.Which model is more accurate? Forecast week 8 with the more accurate method.

(Essay)
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Suppose that the demand in period 1 was 7 units and the demand in period 2 was 9 units.Assume that the forecast for period 1 was for 5 units.If the firm uses exponential smoothing with an alpha value of .20,what should be the forecast for period 3? (Round answers to two decimal places.)
(Multiple Choice)
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Demand for a certain product is forecast to be 8,000 units per month,averaged over all 12 months of the year.The product follows a seasonal pattern,for which the January monthly index is 1.25.What is the seasonally-adjusted sales forecast for January?
(Short Answer)
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Given an actual demand this period of 61,a forecast for this period of 58,and an alpha of 0.3,what would the forecast for the next period be using exponential smoothing?
(Multiple Choice)
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Computer monitoring of tracking signals and self-adjustment if a signal passes a preset limit is characteristic of:
(Multiple Choice)
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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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________ forecasts address the business cycle by predicting inflation rates,money supplies,housing starts,and other planning indicators.
(Short Answer)
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What is a tracking signal? Explain the connection between adaptive smoothing and tracking signals.
(Essay)
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