Improving Forecasts with Integrated Business Planning Ganesh Sankaran Federico Sasso Robert Kepczynski Alessandro Chiaraviglio From Short-Term to Long-Term Demand Planning Enabled by SAP IBP 1st edition by Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio – Ebook PDF Instant Download/Delivery. 3030053806 978-3030053802
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Product details:
ISBN 10: 3030053806
ISBN 13: 978-3030053802
Author: Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio
This book provides both a broad overview of the forecasting process, covering technological and human aspects alike, and deep insights into algorithms and platform functionalities in the IBP toolbox required to maximize forecast accuracy. Rich in technical and business explanations, it addresses short-, medium- and long-term forecasting processes using functionalities available in demand planning and demand sensing.
There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox. Beyond standard procedures, the book also discusses custom approaches (e.g. new segmentation criteria, new outlier detection and correction methods) and new methods (e.g. the use of Markov chains for forecasting sporadic demands), etc. It subsequently benchmarks common practices using these innovative approaches and discusses the results. As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology. In closing, the book provides several useful tips and tricks that should come in handy during project implementation.
Improving Forecasts with Integrated Business Planning Ganesh Sankaran Federico Sasso Robert Kepczynski Alessandro Chiaraviglio From Short-Term to Long-Term Demand Planning Enabled by SAP IBP 1st Table of contents:
1. Introduction
2. Building Demand Planning Organization and Competencies
3. Efficient and Effective Usage of Out-of-the-Box Statistical Forecasting
4. Custom Method to Forecast Seasonal Products
5. Custom Method to Forecast Intermittent Products
6. Value of Forecasting with Custom Methods
7. Improving Short-Term Forecast with Demand Sensing
8. How to Measure and Improve Forecasting
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