Causal relationship | A situation in which one event causes another. If the event is far enough in the future, it can be used as a basis for forecasting.
|
|
|
|
Collaborative Planning, Forecasting, and Replenishment (CPFR) | An Internet tool to coordinate forecasting, production, and purchasing in a firm's supply chain.
|
|
|
|
Dependent demand | Requirements for a product or service caused by the demand for other products or services. This type of internal demand does not need a forecast, but can be calculated based on the demand for the other products or services.
|
|
|
|
Exponential smoothing | A time series forecasting technique in which each increment of past demand data is decreased by (1 - α).
|
|
|
|
Focus forecasting | An approach to forecasting in which several different techniques are tried in a computer simulation and the best technique or combination of techniques is used to make the actual forecast.
|
|
|
|
Independent demand | Demand that cannot be directly derived from the demand for other products.
|
|
|
|
Linear regression forecasting | A forecasting technique that assumes that past data and future projections fall around a straight line.
|
|
|
|
Mean absolute deviation (MAD) | The average forecast error using absolute values of the error of each past forecast.
|
|
|
|
Smoothing constant alpha (α) | The parameter in the exponential smoothing equation that controls the speed of reaction to differences between forecasts and actual demand.
|
|
|
|
Smoothing constant delta (δ) | An additional parameter used in an exponential smoothing equation that includes an adjustment for trend.
|
|
|
|
Time series analysis | A type of forecast in which data relating to past demand are used to predict future demand.
|
|
|
|
Tracking signal | A measure that indicates whether the forecast average is keeping pace with any genuine upward or downward changes in demand.
|