| Description |
1 online resource : illustrations |
| Series |
SAGE Knowledge. Cases |
|
SAGE Knowledge. Cases
|
| Summary |
In this case study and teaching note, SAP, the leading enterprise resource planning software (ERP), 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 |
| Notes |
Originally Published InKumar, A., & Stecke, K. E. (2009). Super Skateboard Builders Inc. Operations Management Education Review, 3(1), 35-62. OMER3-0CS1 |
|
Description based on XML content |
| Subject |
Business logistics -- Case studies
|
|
Enterprise resource planning -- Case studies
|
|
Management information systems -- Case studies
|
|
Business logistics
|
|
Enterprise resource planning
|
|
Management information systems
|
| Genre/Form |
Case studies
|
|
Case studies.
|
|
Études de cas.
|
| Form |
Electronic book
|
| Author |
Stecke, Kathryn E., author
|
| ISBN |
9781526462374 |
|
1526462370 |
|
