Exam 4: Forecasting
Exam 1: Operations and Productivity126 Questions
Exam 2: Operations Strategy in a Global Environment135 Questions
Exam 3: Project Management123 Questions
Exam 4: Forecasting142 Questions
Exam 5: Design of Goods and Services137 Questions
Exam 6: Managing Quality130 Questions
Exam 7: Process Strategy129 Questions
Exam 8: Location Strategies140 Questions
Exam 9: Layout Strategies161 Questions
Exam 10: Human Resources, Job Design, and Work Measurement191 Questions
Exam 11: Supply-Chain Management145 Questions
Exam 12: Inventory Management171 Questions
Exam 13: Aggregate Planning134 Questions
Exam 14: Material Requirements Planning Mrp and Erp172 Questions
Exam 15: Short-Term Scheduling139 Questions
Exam 16: Just-In-Time and Lean Options138 Questions
Exam 17: Maintenance and Reliability130 Questions
Exam 18: Statistical Tools for Managers97 Questions
Exam 19: Acceptance Sampling99 Questions
Exam 20: The Simplex Method of Linear Programming94 Questions
Exam 21: The Modi and Vam Methods of Solving Transportation Problems135 Questions
Exam 22: Vehicle Routing and Scheduling111 Questions
Exam 23 Managing Quality155 Questions
Exam 24: Process Strategy107 Questions
Exam 25: Supply-Chain Management73 Questions
Exam 26: Vehicle Routing and Scheduling92 Questions
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What are the differences between quantitative and qualitative forecasting methods?
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Cycles and random variations are both components of time series.
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Given an actual demand of 103, a previous forecast value of 99, and an alpha of .4, the exponential smoothing forecast for the next period would be
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The forecasting model that pools the opinions of a group of experts or managers is known as the
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A time-series model uses a series of past data points to make the forecast.
(True/False)
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Marie Bain is the production manager at a company that manufactures hot water heaters. Marie needs a demand forecast for the next few years to help decide whether to add new production capacity. The company's sales history (in thousands of units) is shown in the table below. Use exponential smoothing with trend adjustment, to forecast demand for period 6. The initial forecast for period 1 was 11 units; the initial estimate of trend was 0. The smoothing constants are α = .3 and β = .3


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Distinguish between a moving average model and an exponential smoothing model.
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A management analyst is using exponential smoothing to predict merchandise returns at an upscale branch of a department store chain. Given an actual number of returns of 154 items in the most recent period completed, a forecast of 172 items for that period, and a smoothing constant of 0.3, what is the forecast for the next period? How would the forecast be changed if the smoothing constant were 0.6? Explain the difference in terms of alpha and responsiveness.
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Regression lines graphically depict "cause-and-effect" relationships.
(True/False)
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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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Technological forecasts address the business cycle by predicting inflation rates, money supplies, housing starts, and other planning indicators.
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Forecasts are usually classified by time horizon into three categories
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Which time-series model below assumes that demand in the next period will be equal to the most recent period's demand?
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Which of the following is not a step in the forecasting process?
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In trend projection, the trend component is the slope of the regression equation.
(True/False)
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Many service firms use point-of-sale computers to collect detailed records needed for accurate short-term forecasts.
(True/False)
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What is the key difference between weighted moving average and simple moving average approaches to forecasting?
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