Exam 18: Forecasting
Exam 1: Introduction84 Questions
Exam 2: Strategy54 Questions
Exam 3: Design of Products and Services58 Questions
Exam 4: Project Management78 Questions
Exam 5: Strategic Capacity Management64 Questions
Exam 6: Learning Curves60 Questions
Exam 7: Manufacturing Processes44 Questions
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Exam 10: Waiting Line Analysis and Simulation77 Questions
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Exam 12: Six Sigma Quality75 Questions
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Exam 14: Lean Supply Chains73 Questions
Exam 15: Logistics Distribution, and Transportation61 Questions
Exam 16: Global Sourcing and Procurement78 Questions
Exam 17: Enterprise Resource Planning Systems47 Questions
Exam 18: Forecasting101 Questions
Exam 19: Sales and Operations Planning65 Questions
Exam 20: Inventory Management108 Questions
Exam 21: Material Requirements Planning89 Questions
Exam 22: Workcenter Scheduling72 Questions
Exam 23: Theory of Constraints72 Questions
Exam 24: Health Care69 Questions
Exam 25: Operations Consulting61 Questions
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Which of the following forecasting methodologies is considered a qualitative forecasting technique?
(Multiple Choice)
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Decomposition of a time series means identifying and separating the time series data into its components.
(True/False)
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Random errors can be defined as those that cannot be explained by the forecast model being used.
(True/False)
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Experience and trial and error are the simplest ways to choose weights for the weighted moving average forecasting model.
(True/False)
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What do we call forecasts that are for very high-level demand analysis? _______________________________________
(Short Answer)
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Cyclical influences on demand may come from occurrences such as political elections, war, or economic conditions.
(True/False)
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Continual review and updating in light of new data is a forecasting technique called second-guessing.
(True/False)
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A central premise of exponential smoothing is that more recent data are less indicative of the future than data from the distant past.
(True/False)
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Given a prior forecast demand value of 1,100, a related actual demand value of 1,000, and a smoothing constant alpha of 0.3, what is the exponential smoothing forecast value?
(Multiple Choice)
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In a forecasting model using simple moving average, the shorter the time span used for calculating the moving average, the closer the average follows volatile trends.
(True/False)
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For every forecasting problem, there is one best forecasting technique.
(True/False)
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A company wants to forecast demand using the weighted moving average.If the company uses two prior yearly sales values , and we want to weight year 2012 at 35 percent and year 2013 at 65 percent, what is the weighted moving average forecast for year 2014? __________________________________________
(Short Answer)
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As a consultant, you have been asked to generate a unit demand forecast for a product for year 2014 using exponential smoothing.The actual demand in year 2013 was 750.The forecast demand in year 2013 was 960.Using these data and a smoothing constant alpha of 0.3, which of the following is the resulting year 2014 forecast value?
(Multiple Choice)
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The value of the smoothing constant alpha in an exponential smoothing model is between 0 and 1.
(True/False)
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Which of the following is not one of the basic types of forecasting?
(Multiple Choice)
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If the intercept value of a linear regression model is 40, the slope value is 40, and the value of X is 40, which of the following is the resulting forecast value using this model?
(Multiple Choice)
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In the simple exponential smoothing forecasting model, you need at least 30 observations to set the smoothing constant alpha.
(True/False)
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