SAP
Demand Forecasting Workshop
SBTI offers a
customized workshop for companies using,
or intending to use, SAP to create forecasts of demand for products or
services. The topics discussed include all of the forecasting
procedures available in SAP plus the more powerful ARIMA forecasting
methods developed by Box and Jenkins, which are available in Minitab.
This workshop is normally presented in two three day sessions about one
month apart, but other formats are possible to satisfy specific needs.
Workshop
Agenda
First 3 Day Session
Introduction
to basic time
series concepts
Smoothing
with moving averages,
including exponential smoothing
Forecasting
time series
containing trends
Forecasting
time series
containing seasonal patterns
Seasonal
Linear Regression
Forecasting
time series
containing trends and seasonal patterns
Determining
best values for
smoothing factors
Second 3 Day Session
SAP
manual and automatic model
selection procedures
Forecasting
sporadic demand
using Croston's method
Forecasting
demand for new
products with S curves
Diagnosing
potential for
forecast improvement
Autocorrelation
Forecasting
with ARMA models
Forecasting
nonstationary time
series with ARIMA models
Forecasting
time series
containing trends and seasonal patterns using ARIMA models
Forecasting
with leading
indicators
Comparing
forecasting methods
Although each
forecasting procedure is illustrated using
practical business examples, participants are strongly encouraged to
provide their own data in order to evaluate the effectiveness of these
procedures for their environment.
Workshop
Instructor
Dr. David Bacon,
Master Consultant with SBTI, has
designed and presented this workshop. Dr. Bacon is a program developer
and regular instructor in SBTI's Core Master Black Belt program and he
presents Forecasting Methods and Time Series Analysis as an Elective
Session in that program. He has contributed to the development and
application of forecasting methods with a number of companies over the
past forty years.
For
more information on this
workshop, please call Joe Ficalora at (609).371.8990 or email jficalora@sbtimail.com
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