APICS Demand Management 5 — Questions and Answers
Question 1: Which forecasting method is most appropriate when demand is driven by an underlying causal variable such as housing starts or GDP?
- Simple exponential smoothing
- Regression analysis (Correct answer)
- Moving average
- Naive forecasting
Correct answer: Regression analysis
Regression analysis models the relationship between demand and one or more independent causal variables to produce a cause-and-effect forecast.
Question 2: A planner calculates a seasonal index of 1.25 for Q4. What does this indicate?
- Q4 demand is 25% below the annual average
- Q4 demand is 25% above the annual average (Correct answer)
- Q4 safety stock should be increased by 25%
- Q4 lead times are 25% longer than average
Correct answer: Q4 demand is 25% above the annual average
A seasonal index greater than 1.0 indicates demand in that period is higher than average; 1.25 means Q4 demand is 25% above the annual average.
Question 3: Which term describes the maximum amount of product a market can absorb within a given period, regardless of price or marketing effort?
- Effective demand
- Market potential (Correct answer)
- Derived demand
- Latent demand
Correct answer: Market potential
Market potential represents the upper limit of demand for a product in a defined market over a specific time period under ideal conditions.
Question 4: In a make-to-order environment, which input is most critical for driving the master production schedule?
- Statistical demand forecast
- Firm customer orders (Correct answer)
- Inventory replenishment signals
- Safety stock targets
Correct answer: Firm customer orders
In make-to-order environments, firm customer orders (not forecasts) are the primary demand signal because production begins only after an order is received.
Question 5: What is the primary risk of using only qualitative forecasting methods for high-volume commodity products?
- They require expensive software systems to implement
- They introduce subjective bias and are difficult to validate statistically (Correct answer)
- They cannot account for seasonal demand patterns
- They require historical data going back at least five years
Correct answer: They introduce subjective bias and are difficult to validate statistically
Qualitative methods rely on human judgment, which can introduce personal biases and lack the statistical rigor needed for reliable high-volume product forecasting.
Question 6: Which planning horizon is typically associated with the demand management process in S&OP?
- 1–3 days (operational scheduling)
- 3–18 months (tactical planning) (Correct answer)
- 5–10 years (strategic capacity planning)
- 1–2 weeks (short-term dispatch scheduling)
Correct answer: 3–18 months (tactical planning)
S&OP and demand management typically operate over a 3–18 month tactical horizon, balancing medium-term demand projections with supply capacity decisions.
Question 7: A company observes that its distributor's orders fluctuate far more than end-consumer sales. This phenomenon is known as:
- Demand aggregation
- The bullwhip effect (Correct answer)
- Demand smoothing
- Order promising variability
Correct answer: The bullwhip effect
The bullwhip effect describes how small fluctuations in consumer demand get amplified as orders move upstream through the supply chain.
Which forecasting method is most appropriate when demand is driven by an underlying causal variable such as housing starts or GDP?