True or false: A demand forecast is a guaranteed sales result that operations managers should treat as a target.
5 Forecasting for Operations Online Quiz Questions
Use this free practice quiz with 20 questions to review 5 Forecasting for Operations, test your knowledge, and prepare for your next test or exam.
A retailer uses a seasonal naïve method to forecast demand for a particular week. It bases the forecast on .
A company is launching a product with little relevant demand history. Which forecasting approach is most appropriate to consider?
- A
Use a moving average of the product's recent demand, even though there are no relevant observations.
- B
Use a structured judgmental approach, such as expert estimates or customer surveys, and document its assumptions.
- C
Use a seasonal naïve method based on the product's matching period last year, even though the product is new.
- D
Choose whichever method has the smallest error on the new product's historical test data.
Which activities can demand forecasts support in operations? Select all correct choices.
- A
Estimating replenishment needs and assessing stockout or excess-stock risk
- B
Planning production output, equipment use, or capacity
- C
Anticipating workload to arrange staffing and schedules
- D
Coordinating purchasing, production, and transport plans with supply-chain partners
- E
Guaranteeing that actual demand will match the forecast
True or false: A manager should add judgment to a statistical forecast when there is specific, relevant information the model does not already include, such as a confirmed promotion.
- A
True
- B
False
What time-related factor, alongside uncertainty, matters when estimating inventory replenishment needs?
A manager is considering mean absolute percentage error (MAPE) to evaluate demand forecasts. Which limitation should the manager keep in mind?
- A
It is always expressed in the original demand units and gives large misses no extra influence.
- B
It measures average signed error, so it directly reports whether forecasts tend to be too high or too low.
- C
It is undefined when actual demand is zero and may mislead when actual demand is close to zero.
- D
It can be calculated only when demand is strongly seasonal.
Using the convention et=actual demandt−forecastt, a positive forecast error means .
For three periods, actual demand was 12, 18, and 20 units, while forecasts were 10, 21, and 17 units. What was the mean absolute error? Enter the value in units; an exact fraction is acceptable.
A product's demand is strongly affected by price and promotions, and the company can estimate their values for the planning period. Which forecasting approach should it consider?
- A
Use a causal or regression model that relates demand to the relevant drivers.
- B
Use only a seasonal naïve method, regardless of the drivers or seasonal pattern.
- C
Use a moving average because it directly estimates the future values of price and promotion.
- D
Avoid quantitative methods because relevant drivers can never be included in a demand model.
A team is comparing forecasts for a time-series demand problem. Which evaluation practices are appropriate? Select all correct choices.
- A
Fit on earlier periods and test on later periods, or move the training window forward over time.
- B
Compare methods at the forecast horizon used in practice.
- C
Review results by product, location, or period when aggregate scores could conceal local problems.
- D
Randomly shuffle all periods before splitting the data so the test set includes a representative mix of past and future.
Using et=actual demandt−forecastt, actual demand and forecast were 102 and 100, 95 and 100, and 110 and 105, respectively. What was the mean error? Enter a signed value in units; an exact fraction is acceptable.
Two forecasting methods have similar average error, but under-forecasting could cause costly lost sales while over-forecasting could create excess inventory. What should the manager do when using the forecasts to make an operating decision?
- A
Always select the method with the lowest average error, regardless of the consequences of being too high or too low.
- B
Consider the consequences of under- and over-forecasting for the decision, along with forecast accuracy.
- C
Treat over-forecasting as harmless because it cannot affect operations.
- D
Choose the forecast that exactly matches a sales target, even if its uncertainty is high.
A distribution company wants to compare methods for forecasting weekly demand for one product at several warehouses. Describe a practical evaluation plan that would help it choose a method for use in operations.
A service manager needs to estimate workload for each shift next week and arrange the appropriate number of employees. Which operational use of demand forecasts most directly supports this decision?
- A
Estimate replenishment needs and the risk of excess stock
- B
Anticipate workload by shift and arrange labor
- C
Plan equipment use and long-term production capacity
- D
Coordinate purchasing and transport plans with suppliers
A company is launching a product with no relevant demand history. Which approach is most suitable for producing an initial forecast?
- A
Use a seasonal naïve method because the matching season's demand is known
- B
Use exponential smoothing because it can represent trend and seasonality
- C
Use a judgmental method, documenting assumptions and applying judgment systematically
- D
Use a causal model with drivers even if their future values are unavailable
Using the convention that forecast error equals actual demand minus forecast, a positive forecast error means demand was under-forecast.
- A
True
- B
False
For one period, actual demand is 145 units and the forecast is 130 units. Using the convention et=actual demandt−forecastt, what is the forecast error?
A product has zero actual demand in one test period. What is true of MAPE for that period?
- A
MAPE is undefined for that period because its denominator is zero.
- B
MAPE is necessarily zero because actual demand is zero.
- C
MAPE is expressed in the original demand units for that period.
- D
MAPE can be calculated only if the forecast is also zero.
A team is evaluating a demand-forecasting method on time-series data. Which split best preserves the chronological order needed for a realistic test?
- A
Randomly mix all periods before assigning them to fitting and testing
- B
Fit on later periods and test on earlier periods
- C
Fit and test on the same periods to ensure a fair comparison
- D
Fit on earlier periods and test on later periods