Improving Forecasts with Integrated Business Planning

From Short-Term to Long-Term Demand Planning Enabled by SAP IBP

von Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio

421 Seiten, Hardcover

Kurzbeschreibung des Verlags

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. 

• Reihe: Management for Professionals
• ISBN: 9783030053802
• Sprache: Englisch
• Erscheinungsdatum: 21.03.2019
• Genre: Informatik, EDV/Anwendungs-Software
• Verlag: Springer International Publishing