Free Practice Quiz Question List

3 Demand Forecasting and Planning Online Quiz Questions

Use this free practice quiz with 20 questions to review 3 Demand Forecasting and Planning, test your knowledge, and prepare for your next test or exam.

20 questions
01
True or false
1 point

A regression model finds that products with more promotions also had higher demand in the historical data. This relationship alone proves that the promotions caused the higher demand.

  1. A

    True

  2. B

    False

02
Choose one
1 point

A company is launching a product with little or no historical demand data. Which forecasting method is most directly suited to drawing on sales-team and expert input?

  1. A

    A moving average of recent demand

  2. B

    Qualitative judgment using input from sales teams and experts

  3. C

    A naïve forecast using the most recent actual demand

  4. D

    Exponential smoothing of several past observations

03
Fill in the blank
1 point

A spare part has many periods with little or no demand, interrupted by occasional orders. This is an example of .

04
Choose one
1 point

A planner needs a simple benchmark forecast for the next period. Which method uses a recent actual demand value as that next forecast?

  1. A

    Use the most recent actual demand as the next forecast

  2. B

    Average the demand from several recent periods

  3. C

    Use expert judgment instead of historical observations

  4. D

    Estimate demand from factors such as price and weather

05
Fill in the blank
1 point

Demand for a product rises steadily over several years, rather than changing only at a recurring time of year. This long-term pattern is a .

06
True or false
1 point

True or false: MAPE is defined for a period with zero actual demand because it expresses forecast error as a percentage.

  1. A

    True

  2. B

    False

07
Written response
1 point

Demand over the last three months was 90, 105, and 111 units. What is the three-month moving-average forecast? Enter the number of units, without a unit label.

08
Choose all
1 point

A product's demand rises over several years and also has a recurring peak before the same holiday each year. Which demand patterns are present? Select all correct choices.

  1. A

    Seasonality

  2. B

    Irregular variation

  3. C

    Trend

  4. D

    Intermittent demand

09
Choose one
1 point

A planner receives a substantially higher forecast for a product. Which response is consistent with using the forecast to prepare operations?

  1. A

    Defer purchases and production to avoid excess stock

  2. B

    Secure materials earlier or reserve production capacity

  3. C

    Treat the forecast as a guarantee of future sales

  4. D

    Ignore transportation capacity because demand is only forecast

10
Choose all
1 point

A planner is combining a statistical estimate with informed adjustments. Which inputs are examples of adjustments that could be used? Select all correct choices.

  1. A

    A confirmed promotion

  2. B

    An unverified assumption that demand will rise

  3. C

    A known customer contract

  4. D

    A guarantee that the forecast will match actual sales

11
Choose one
1 point

A planner wants a method that uses past demand but reacts more strongly to recent observations. Which description best fits exponential smoothing?

  1. A

    It gives equal weight to every historical observation

  2. B

    It gives more weight to recent observations

  3. C

    It uses only expert opinions and no past demand

  4. D

    It is valid only when demand has no trend or seasonality

12
Written response
1 point

Across two periods, actual demands were 80 and 110 units, while forecasts were 75 and 120 units. What is the mean absolute error (MAE)? Enter the number of units, without a unit label.

13
Open ended
1 point

A retailer expects demand for a product to rise substantially next season, but supplier lead times are long and available warehouse space is limited. Explain at least two actions the planning team could consider and at least two factors it should weigh before finalizing the plan. Include how it should account for forecast uncertainty.

14
Choose one
1 point

A retailer sees sales rise before each new school year and fall afterward. Which demand pattern best describes this recurring calendar-related change?

  1. A

    Trend

  2. B

    Seasonality

  3. C

    Cyclical variation

  4. D

    Irregular variation

15
Choose one
1 point

A company is launching a product with almost no historical sales data. Which approach is most suitable for developing an initial forecast?

  1. A

    A moving average of several years of demand

  2. B

    A naïve forecast based on a long history of actual values

  3. C

    Qualitative judgment from informed people

  4. D

    A causal model requiring established historical relationships

16
True or false
1 point

A regression model finds that promotions and demand moved together in past data. This relationship alone proves that promotions caused the demand changes.

  1. A

    True

  2. B

    False

17
Written response
1 point

A spare part has little or no demand in many periods, with occasional orders in between. What demand pattern does this describe?

18
Choose one
1 point

A planner wants a method that uses past demand but gives more weight to recent observations. Which method best fits this requirement?

  1. A

    A naïve forecast

  2. B

    Exponential smoothing

  3. C

    A simple moving average

  4. D

    Qualitative judgment

19
Choose one
1 point

A forecast indicates higher demand, but supplier lead times are long and current inventory is limited. Which planning response is most appropriate?

  1. A

    Wait until demand occurs before considering any supply decisions

  2. B

    Cancel all replenishment because forecasts are uncertain

  3. C

    Increase purchases without checking inventory or supplier lead times

  4. D

    Review inventory and lead times, then consider securing materials or capacity earlier

20
Written response
1 point

For two periods, actual demand was 8080 and 120120 units, while the corresponding forecasts were 9595 and 110110 units. Using signed error A−FA-F, what was the average signed error across the two periods?