Business Forecasting - True and False
Essay by Sharon Sojan • February 7, 2017 • Coursework • 8,553 Words (35 Pages) • 1,455 Views
File: ch12, Chapter 12: Forecasting
True/False
- Forecasts based on mathematical formulas are referred to as qualitative forecasts.
Ans: False
Difficulty: Easy
Learning Objective: LO 1
- Because of globalization of markets, managers are finding it increasingly more difficult to create accurate demand forecasts.
Ans: True
Difficulty: Moderate
Learning Objective: LO 1
- Forecasting customer demand is often a key to providing good quality service.
Ans: True
Difficulty: Easy
Learning Objective: LO 1
- One way to deal with the bullwhip effect is to develop and share the forecasts with other supply chain members.
Ans: True
Difficulty: Easy
Learning Objective: LO 1
- Qualitative forecasts use mathematical techniques and statistical formulas.
Ans: False
Difficulty: Moderate
Learning Objective: LO 1
- In today’s competitive environment, effective supply chain management requires absolute demand forecasts.
Ans: False
Difficulty: Moderate
Learning Objective: LO 1
- Sharing demand forecasts with supply chain members has resulted in an increased bullwhip effect.
Ans: False
Difficulty: Moderate
Learning Objective: LO 1
- Because of advances in technology, many service industries no longer require accurate forecasts to provide high quality service.
Ans: False
Difficulty: Moderate
Learning Objective: LO 1
- The type of forecasting method used depends entirely on whether the supply chain is continuous replenishment or not.
Ans: False
Difficulty: Moderate
Learning Objective: LO 1
- Continuous replenishment systems rely heavily on extremely accurate long-term forecasts.
Ans: False
Difficulty: Easy
Learning Objective: LO 1
- The type of forecasting method selected depends on time frame, demand behavior and causes of behavior.
Ans: True
Difficulty: Hard
Learning Objective: LO 2
- A gradual, long-term up or down movement of demand over time is referred to as a trend.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- A seasonal pattern is an oscillating movement in demand that occurs periodically over the short-run and is repetitive.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- Short-midrange forecasts tend to use quantitative models that forecast demand based on historical demand.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- Long-range quantitative forecasts are used to determine future demand for new products, markets, and customers.
Ans: False
Difficulty: Moderate
Learning Objective: LO 2
- The trend toward continuous replenishment in supply chain design has shifted the need for accurate forecasts from long-term to short-term.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- The type of forecasting method selected depends on time frame, demand behavior, and causes of behavior.
Ans: True
Difficulty: Hard
Learning Objective: LO 2
- Because of heightened competition resulting from globalization most companies find little strategic value in long-range forecasts.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- Movements in demand that do not follow a given pattern are referred to as random variations.
Ans: True
Difficulty: Easy
Learning Objective: LO 2
- Many companies are shifting from long-term to short-term forecasts for strategic planning.
Ans: False
Difficulty: Moderate
Learning Objective: LO 2
- The demand behavior for skis is considered cyclical.
Ans: False
Difficulty: Moderate
Learning Objective: LO 2
- The long-term strategic planning process is dependent upon qualitative forecasting methods.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- The Delphi method generates forecasts based on informed judgments and opinions from knowledgeable individuals.
Ans: True
Difficulty: Moderate
Learning Objective: LO 2
- The most common type of forecasting method for long-term strategic planning is based on quantitative modeling
Ans: False
Difficulty: Moderate
Learning Objective: LO 2
- Time series methods use historical data to predict future demand.
Ans: True
Difficulty: Moderate
Learning Objective: LO 3
- One reason time series methods are popular for forecasting is that they are relatively easy to use and understand.
Ans: True
Difficulty: Moderate
Learning Objective: LO 3
- Exponential smoothing is an averaging method for forecasting that reacts more strongly to recent changes in demand.
Ans: True
Difficulty: Moderate
Feedback: Times Series Methods
- Time series methods assume that demand patterns in the past are a good predictor of demand in the future.
Ans: True
Difficulty: Moderate
Learning Objective: LO 3
- The moving average method is used for creating forecasts when there is no variation in demand.
Ans: False
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