TEST BANK FOR Operations And Supply Chain Manageme
Exam (elaborations)
Exam (elaborations) TEST BANK FOR Operations And Supply Chain Manageme
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TEST BANK FOR Operations And Supply Chain Manageme
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Maastricht University (UM)
Exam (elaborations) TEST BANK FOR Operations And Supply Chain Manageme
Time series forecasting models make predictions about the future based on
analysis of past data.
True False
6. In the weighted moving average forecasting model the weights must add up to
one times the number of data poi...
TEST BANK FOR Operations And Supply Chain Manageme
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,Operations And Supply Chain Management The Core 3rd Edition Jacobs Test Bank
Full Download: http://testbankreal.com/download/operations-and-supply-chain-management-the-core-3rd-edition-jacobs-test-b
Chapter 03
Forecasting
True / False Questions
1. Continual review and updating in light of new data is a forecasting technique
called second-guessing.
True False
2. Cyclical influences on demand are often expressed graphically as a linear
function that is either upward or downward sloping.
True False
3. Cyclical influences on demand may come from occurrences such as political
elections, war or economic conditions.
True False
4. Trend lines are usually the last things considered when developing a forecast.
True False
This is sample only, Download all chapters at: testbankreal.com
,5. Time series forecasting models make predictions about the future based on
analysis of past data.
True False
6. In the weighted moving average forecasting model the weights must add up to
one times the number of data points.
True False
7. In a forecasting model using simple exponential smoothing the data pattern
should remain stationary.
True False
8. 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
9. In the simple exponential smoothing forecasting model you need at least 30
observations to set the smoothing constant alpha.
True False
, 10. Experience and trial and error are the simplest ways to choose weights for the
weighted moving average forecasting model.
True False
11. Bayesian analysis is the simplest way to choose weights for the weighted moving
average forecasting model.
True False
12. The weighted moving average forecasting model uses a weighting scheme to
modify the effects of individual data points. This is its major advantage over the
simple moving average model.
True False
13. A central premise of exponential smoothing is that more recent data is less
indicative of the future than data from the distant past.
True False
14. The equation for exponential smoothing states that the new forecast is equal to
the old forecast plus the error of the old forecast.
True False
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