Improving Forecasts with Integrated Business Planning
Springer International Publishing (Verlag)
978-3-030-05380-2 (ISBN)
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.Ganesh Sankaran has been consulting large multi-national companies for over 11 years on their supply chain processes and IT solutions and helping them solve business problems and generate value from their investments. Ganesh possesses a skillset that combines theoretical insights in SCM and implementation experience in SAP solutions further supplemented by around seven years of software development experience. He is passionate about teaching and research and continues to engage closely with his alma mater to pursue these interests. Federico Sasso is a consultant with a solid background in Logistics and Supply Chain Management. He is specialized in SAP Integrated Business Planning especially in demand planning, developing new algorithms and processes for forecasting seasonal and intermittent products. He disposes of an interdisciplinary expertise in engineering and economics. He is a ISCEA Certified Demand Driven Planner (CDDP), leveraging the concepts of the Demand Driven Methodology (DDMRP - DDI).
Introduction.- Building Demand Planning Organization and Competencies.- Efficient and Effective Usage of Out of the Box Statistical Forecasting.- Custom Method to Forecast Seasonal Products.- Custom Method to Forecast Intermittent Products.- Value of Forecasting with Custom Methods.- Improving Short Term Forecast with Demand Sensing.- How to Measure and Improve Forecasting.
| Erscheinungsdatum | 19.02.2019 |
|---|---|
| Reihe/Serie | Management for Professionals |
| Zusatzinfo | XVI, 421 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 818 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management | |
| Schlagworte | Demand Planning • IBP • Integrated business planning • Sales forcasting • SAP IBP • Use Cases |
| ISBN-10 | 3-030-05380-6 / 3030053806 |
| ISBN-13 | 978-3-030-05380-2 / 9783030053802 |
| Zustand | Neuware |
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