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 |