Super Skateboard Builders Inc.
Grand Valley State University, USA
Kathryn E. Stecke
University of Texas at Dallas, USA
Volume 3: 2009, pp. 35-62; ABSTRACT
In this case study and teaching note, SAP, the leading ERP software, is used to illustrate how good smoothing models can be developed using historic demand data. Mechanisms that facilitate what-if analyses related to forecasting in an SAP environment that uses pre-specified forecasting models are presented. Readers interested in learning how synthetic data can be constructed that conform to certain predetermined patterns can also benefit. This work should be useful to business students, faculty, managers, and consultants who want to enrich their knowledge base and expertise in ERP and forecasting. The instructions are generic and apply to most historic demand data.