Free Practice Quiz Question List

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.

20 questions
01
True or false
1 point

True or false: A demand forecast is a guaranteed sales result that operations managers should treat as a target.

  1. A

    True

  2. B

    False

02
Fill in the blank
1 point

A retailer uses a seasonal naïve method to forecast demand for a particular week. It bases the forecast on .

03
Choose one
1 point

A company is launching a product with little relevant demand history. Which forecasting approach is most appropriate to consider?

  1. A

    Use a moving average of the product's recent demand, even though there are no relevant observations.

  2. B

    Use a structured judgmental approach, such as expert estimates or customer surveys, and document its assumptions.

  3. C

    Use a seasonal naïve method based on the product's matching period last year, even though the product is new.

  4. D

    Choose whichever method has the smallest error on the new product's historical test data.

04
Choose all
1 point

Which activities can demand forecasts support in operations? Select all correct choices.

  1. A

    Estimating replenishment needs and assessing stockout or excess-stock risk

  2. B

    Planning production output, equipment use, or capacity

  3. C

    Anticipating workload to arrange staffing and schedules

  4. D

    Coordinating purchasing, production, and transport plans with supply-chain partners

  5. E

    Guaranteeing that actual demand will match the forecast

05
True or false
1 point

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.

  1. A

    True

  2. B

    False

06
Written response
1 point

What time-related factor, alongside uncertainty, matters when estimating inventory replenishment needs?

07
Choose one
1 point

A manager is considering mean absolute percentage error (MAPE) to evaluate demand forecasts. Which limitation should the manager keep in mind?

  1. A

    It is always expressed in the original demand units and gives large misses no extra influence.

  2. B

    It measures average signed error, so it directly reports whether forecasts tend to be too high or too low.

  3. C

    It is undefined when actual demand is zero and may mislead when actual demand is close to zero.

  4. D

    It can be calculated only when demand is strongly seasonal.

08
Fill in the blank
1 point

Using the convention et=actual demandt−forecastte_t = \text{actual demand}_t - \text{forecast}_t, a positive forecast error means .

09
Written response
1 point

For three periods, actual demand was 1212, 1818, and 2020 units, while forecasts were 1010, 2121, and 1717 units. What was the mean absolute error? Enter the value in units; an exact fraction is acceptable.

10
Choose one
1 point

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?

  1. A

    Use a causal or regression model that relates demand to the relevant drivers.

  2. B

    Use only a seasonal naïve method, regardless of the drivers or seasonal pattern.

  3. C

    Use a moving average because it directly estimates the future values of price and promotion.

  4. D

    Avoid quantitative methods because relevant drivers can never be included in a demand model.

11
Choose all
1 point

A team is comparing forecasts for a time-series demand problem. Which evaluation practices are appropriate? Select all correct choices.

  1. A

    Fit on earlier periods and test on later periods, or move the training window forward over time.

  2. B

    Compare methods at the forecast horizon used in practice.

  3. C

    Review results by product, location, or period when aggregate scores could conceal local problems.

  4. D

    Randomly shuffle all periods before splitting the data so the test set includes a representative mix of past and future.

12
Written response
1 point

Using et=actual demandt−forecastte_t = \text{actual demand}_t - \text{forecast}_t, actual demand and forecast were 102102 and 100100, 9595 and 100100, and 110110 and 105105, respectively. What was the mean error? Enter a signed value in units; an exact fraction is acceptable.

13
Choose one
1 point

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?

  1. A

    Always select the method with the lowest average error, regardless of the consequences of being too high or too low.

  2. B

    Consider the consequences of under- and over-forecasting for the decision, along with forecast accuracy.

  3. C

    Treat over-forecasting as harmless because it cannot affect operations.

  4. D

    Choose the forecast that exactly matches a sales target, even if its uncertainty is high.

14
Open ended
1 point

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.

15
Choose one
1 point

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?

  1. A

    Estimate replenishment needs and the risk of excess stock

  2. B

    Anticipate workload by shift and arrange labor

  3. C

    Plan equipment use and long-term production capacity

  4. D

    Coordinate purchasing and transport plans with suppliers

16
Choose one
1 point

A company is launching a product with no relevant demand history. Which approach is most suitable for producing an initial forecast?

  1. A

    Use a seasonal naïve method because the matching season's demand is known

  2. B

    Use exponential smoothing because it can represent trend and seasonality

  3. C

    Use a judgmental method, documenting assumptions and applying judgment systematically

  4. D

    Use a causal model with drivers even if their future values are unavailable

17
True or false
1 point

Using the convention that forecast error equals actual demand minus forecast, a positive forecast error means demand was under-forecast.

  1. A

    True

  2. B

    False

18
Written response
1 point

For one period, actual demand is 145 units and the forecast is 130 units. Using the convention et=actual demandt−forecastte_t = \text{actual demand}_t - \text{forecast}_t, what is the forecast error?

19
Choose one
1 point

A product has zero actual demand in one test period. What is true of MAPE for that period?

  1. A

    MAPE is undefined for that period because its denominator is zero.

  2. B

    MAPE is necessarily zero because actual demand is zero.

  3. C

    MAPE is expressed in the original demand units for that period.

  4. D

    MAPE can be calculated only if the forecast is also zero.

20
Choose one
1 point

A team is evaluating a demand-forecasting method on time-series data. Which split best preserves the chronological order needed for a realistic test?

  1. A

    Randomly mix all periods before assigning them to fitting and testing

  2. B

    Fit on later periods and test on earlier periods

  3. C

    Fit and test on the same periods to ensure a fair comparison

  4. D

    Fit on earlier periods and test on later periods