Forecasting

Forecasting techniques generally assume an existing causal system that will continue to exist in the future.

• true
• false

For new products in a strong growth mode, a low alpha will minimize forecast errors when using exponential smoothing techniques.

• false
• true

Once accepted by managers, forecasts should be held firm regardless of new input since many plans have been made using the original forecast.

• false
• true

Forecasts for groups of items tend to be less accurate than forecasts for individual items because forecasts for individual items don't include as many influencing factors.

• false
• true

Forecasts help managers both to plan the system itself and to provide valuable information for using the system.

• true
• false

Organizations that are capable of responding quickly to changing requirements can use a shorter forecast horizon and therefore benefit from more accurate forecasts.

• true
• false

When new products or services are introduced, focus forecasting models are an attractive option.

• false
• true

The purpose of the forecast should be established first so that the level of detail, amount of resources, and accuracy level can be understood.

• true
• false

Forecasts based on time-series (historical) data are referred to as associative forecasts.

• false
• true

Time-series techniques involve the identification of explanatory variables that can be used to predict future demand.

• false
• true