Forecasting techniques MCQs in Supply Chain

MCQs on Forecasting Techniques in Supply Chain

  1. Which forecasting technique relies on expert judgment rather than numerical data?
    • a) Time series analysis
    • b) Delphi method
    • c) Exponential smoothing
    • d) Linear regression
    • Answer: b) Delphi method
  2. What is the main advantage of using quantitative forecasting methods over qualitative methods?
    • a) They are easier to implement
    • b) They rely on expert opinions
    • c) They provide objective, data-driven predictions
    • d) They require less historical data
    • Answer: c) They provide objective, data-driven predictions
  3. Which forecasting method involves calculating an average of past data points to predict future values?
    • a) Linear regression
    • b) Exponential smoothing
    • c) Moving average
    • d) Delphi method
    • Answer: c) Moving average
  4. Which of the following best describes the exponential smoothing forecasting method?
    • a) It assigns equal weight to all past observations
    • b) It gives more weight to recent observations
    • c) It uses a straight-line approach to predict future values
    • d) It relies on subjective judgment
    • Answer: b) It gives more weight to recent observations
  5. What is the primary use of a time series analysis in forecasting?
    • a) To identify patterns and trends in historical data
    • b) To gather expert opinions
    • c) To compare competitor pricing
    • d) To assess market conditions
    • Answer: a) To identify patterns and trends in historical data
  6. Which of the following is a key characteristic of the moving average method?
    • a) It smooths out short-term fluctuations
    • b) It heavily relies on long-term trends
    • c) It is best used for data with no seasonal patterns
    • d) It gives more weight to older data
    • Answer: a) It smooths out short-term fluctuations
  7. Which technique uses historical data to predict future demand by establishing a relationship between dependent and independent variables?
    • a) Time series analysis
    • b) Exponential smoothing
    • c) Linear regression
    • d) Moving average
    • Answer: c) Linear regression
  8. What is the primary purpose of using a naive forecasting method?
    • a) To create complex models
    • b) To use the most recent period’s data as the forecast for the next period
    • c) To gather input from multiple experts
    • d) To analyze seasonal variations
    • Answer: b) To use the most recent period’s data as the forecast for the next period
  9. Which of the following methods is best suited for forecasting when historical data is limited or unavailable?
    • a) Time series analysis
    • b) Delphi method
    • c) Moving average
    • d) Exponential smoothing
    • Answer: b) Delphi method
  10. What does the term “seasonal index” refer to in the context of forecasting?
    • a) A measurement of random variations in data
    • b) A factor used to adjust forecasts for predictable seasonal fluctuations
    • c) An indicator of long-term trends
    • d) A technique to minimize forecast errors
    • Answer: b) A factor used to adjust forecasts for predictable seasonal fluctuations

 

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