APICS CPIM Exam Part 2 Module 2
decoupling point
point at which inventory is stored, which allows supply chain to operate independently
mass customization
creation of high volume product with large variety where customers can choose an exact model out of
a large pool of possible end items
least squares method
selects a line of best fit through a plot of data to minimize the sum of square of the deviations
multiple regression model
an equation that describes the relationship between a dependent variable and more than one
independent variable
econometric model
set of equations used simultaneously to capture how dependent and independent variables are
interrelated.
adaptive smoothing
form of exponential smoothing in which the smoothing constant is automatically adjusted as a
function of forecast error measurement
first order smoothing
a weighted moving average approach that is applied to forecasting problems where the data do not
exhibit significant trend or seasonal patterns
double smoothing
uses two previously computed averages to extrapolate into the future
(alpha historic demand) + (1-alpha forecast)
exponential smoothing formula
decomposition
time series data is separated into trend, seasonal, and cyclical components
life cycle analysis
forecast based on past patterns of each introduction, growth, maturity, and decline of similar product
focus forecasting
forecasting that tries a variety of computer models and selects the best one
CPFR (Collaborative Planning, Forecasting, and Replenishment)
collaboration process where trading partners can jointly plan key supply chain activities
decoupling point
point at which inventory is stored, which allows supply chain to operate independently
mass customization
creation of high volume product with large variety where customers can choose an exact model out of
a large pool of possible end items
least squares method
selects a line of best fit through a plot of data to minimize the sum of square of the deviations
multiple regression model
an equation that describes the relationship between a dependent variable and more than one
independent variable
econometric model
set of equations used simultaneously to capture how dependent and independent variables are
interrelated.
adaptive smoothing
form of exponential smoothing in which the smoothing constant is automatically adjusted as a
function of forecast error measurement
first order smoothing
a weighted moving average approach that is applied to forecasting problems where the data do not
exhibit significant trend or seasonal patterns
double smoothing
uses two previously computed averages to extrapolate into the future
(alpha historic demand) + (1-alpha forecast)
exponential smoothing formula
decomposition
time series data is separated into trend, seasonal, and cyclical components
life cycle analysis
forecast based on past patterns of each introduction, growth, maturity, and decline of similar product
focus forecasting
forecasting that tries a variety of computer models and selects the best one
CPFR (Collaborative Planning, Forecasting, and Replenishment)
collaboration process where trading partners can jointly plan key supply chain activities
