Description 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.
He is specialized in SAP Integrated Business Planning especially in Demand planning, developing new algorithms and pro.
Federico Sasso is a consultant with a solid background in Logistics and Supply Chain Management.
He is passionate about teaching and research and continues to engage closely with his alma mater to pursue these interests.
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.
About the Author 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.
In closing, the book provides several useful tips and tricks that should come in handy during project implementation.
As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology.
It subsequently benchmarks common practices using these innovative approaches and discusses the results. the use of Markov chains for forecasting sporadic demands), etc. g. new segmentation criteria, new outlier detection and correction methods) and new methods (e. g.
Beyond standard procedures, the book also discusses custom approaches (e.
There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox.
Rich in technical and Business explanations, it addresses short-, medium- and Long-Term forecasting processes using functionalities available in Demand Planning and Demand sensing.
Description 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
