Glossary of APICS MPR Forecasting

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Adaptive smoothing
The smoothing constant is automatically adjusted as a function of forecast error.
Aggregate forecast
An estimate of sales for a grouping produced by a facility.
Aggregate plan
Budgeted levels of goods, inventory, & backlog that support the production strategy.
Alpha factor
The weighting factor that is applied to the most recent demand. Smoothing constant.
Base series
A succession of values of demand-over-time data used in forecasting seasonal items.
Consuming the forecast
The process of reducing the forecast by customer orders.
The relationship between two sets of data. If one changes, then the second changes too.
Curve fitting
A straight line, polynomial, or a curve that describes historical time series data.
Method of forecasting where time series data are separated: trend, seasonal, & cyclical.
Delphi method
A qualitative forecasting technique derived by the opinions of experts.
The absolute difference between a number and the mean set of numbers.
Distribution of forecast errors
Tabulation of the forecast errors according to the frequency of occurrence of each value.
Econometric model
Equations designed to capture the way dependent & independent variables are interrelated.
Exponential smoothing
A weighted moving average where past observations are discounted according to their age.
Projection. Estimation of the future value of some data series based on past observations.
First order smoothing
A weighted average approach that is applied to forecasting problems where the data do not exhibit significant patterns
Focus forecasting
Simulate numerous forecasting techniques to better select the most effective one.
Forecast horizon
The period of time into the future for which a forecast is prepared
Frequency distribution
Table that indicates the variation that data will fall into any number of subdivisions.
Least-squares method
Method of curve fitting that selects a line of best fit through a plot of data.
Life cycle analysis
A quantitative forecasting technique to apply past patterns of demand data to a new product.
The arithmetic average of a group of values
Middle value in a set of measured values, when the items are arranged in order of magnitude
Moving average
The average value of a certain number of the most recent observations
Unpredictable or random difference between the observed data and the true process.
A data point that differs significantly from other data for a similar phenomenon.
Planning horizon
The amount of time that a plan extends into the future. Covers a minimum of cumulative lead time.
Product group forecast
A forecast for a number of similar products
A number derived for a process to give the probable outcome of experimentation
Forecast interval
The time unit for which forecasts are prepared, such as week, month, or quarter.
Probability distribution
Numbers that indicate a frequency on how the results of an experiment should occur.
Pyramid forecasting
A technique that enables mgmt to adjust and balance forecasts made at an aggregate level
Random sample
A selection of observations made with the same probability of selection.
Regression analysis
Describes the functional relationship between one response & independent variables.
Safety capacity
Planned amount by which the available capacity exceeds current productive capacity.
A portion of a universe of data chosen to estimate some characteristic about the whole universe
Sampling distribution
The distribution of values of a statistic calculated from samples of a given size.
Seasonal index
A number used to adjust data to seasonal demand
Second-order smoothing
A method for trend situations that employs two previously computed averages to extrapolate.
a Greek letter commonly used to designate the standard deviation of a population.
The degree of nonsymmetry shown by a frequency or probability distribution.
Smoothing constant
The weighting factor that is applied to the most recent demand. Alpha factor.
Trend forecasting models
Methods for forecasting sales data when a definite upward or downward pattern exists.
Weighted moving average
Data to be averaged are not uniformly weighted, but are given values according to their importance.

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