Exam 10: Demand Forecasting: Building the Foundation for Resource Planning
Exam 1: Introduction: Why Operations Management48 Questions
Exam 2: Profitability: Business Success From Operations Success62 Questions
Exam 3: Strategy and Value: Competing Through Operations59 Questions
Exam 4: Processes: Turning Resources Into Capabilities54 Questions
Exam 5: Cost: The Price of Value Creation56 Questions
Exam 6: Quality: Meeting Customer Expectations45 Questions
Exam 7: Quality Tools: From Process Performance to Process Perfection52 Questions
Exam 8: Timeliness: Scheduling and Project Management53 Questions
Exam 9: Supply Chain Management: Managing Business to Business Interactions38 Questions
Exam 10: Demand Forecasting: Building the Foundation for Resource Planning61 Questions
Exam 11: Inventory: Managing to Meet Demand56 Questions
Exam 12: Logistics: Positioning Goods in the Supply Chain55 Questions
Exam 13: Lean Systems: Eliminating Waste Through the Supply Chain57 Questions
Exam 14: Capacity: Matching Productive Resources to Demand56 Questions
Exam 15: Constraint Management: Simplifying Complex Systems50 Questions
Exam 16: Facilities: Making Location and Layout Decisions49 Questions
Exam 17: Workforce: Optimizing Human Capital Printed47 Questions
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Which of the components of time series cannot, by definition, be forecast?
(Multiple Choice)
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Discuss the relationship between a retailer's demand forecast accuracy and the lead time associated with replenishing inventory.
(Essay)
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Which of the following statements is NOT true about the financial benefits of effective planning?
(Multiple Choice)
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Consumer services have short life cycles, and consumer products have very long ones.
(True/False)
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During the _____ stage of the product life cycle, demand begins to fall because alternatives have begun to appear and take away demand.
(Short Answer)
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A time series is believed to consist of random fluctuation, as well as seasonality, but no evidence of a trend is present. Which forecasting tool would be most appropriate?
(Multiple Choice)
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In trend-adjusted exponential smoothing, the _____ value is used to include the trend component.
(Short Answer)
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In order to provide a relative measure of the absolute error, one should use the
(Multiple Choice)
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The _____ model combines the linear regression approach to forecasting trend with the seasonal indices used to forecast seasonality.
(Short Answer)
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In 2004, the Board of Control of Public Schools hired a consultant to develop a series of forecasting models to project the future enrollments of each school in the district. After examining the historical data and trends, the consulting firm felt that exponential smoothing would be the most appropriate time series technique for projecting enrollment. An exponential smoothing model was then developed. The Board members determined the alpha level (smoothing constant) for each school based on their gut feeling. The forecast enrollments helped the board set the budget for each school for the upcoming year. Based on the above situation, discuss the pros and cons of using the exponential smoothing technique for this forecasting purpose. How can the model be abused? What could the board do to improve the accuracy of enrollment information?
(Essay)
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Which of the components of a time series is usually of little importance in demand forecasting?
(Multiple Choice)
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What smoothing constants are necessary for forecast including trend?
(Multiple Choice)
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