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Improving Forecasts with Integrated Business Planning = From Short-Term to Long-Term Demand Planning Enabled by SAP IBP /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Improving Forecasts with Integrated Business Planning/ by Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio.
其他題名:	From Short-Term to Long-Term Demand Planning Enabled by SAP IBP /
作者:	Sankaran, Ganesh.
其他作者:	Sasso, Federico.
面頁冊數:	XVI, 421 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Management information systems. -
電子資源:	https://doi.org/10.1007/978-3-030-05381-9
ISBN:	9783030053819

Improving Forecasts with Integrated Business Planning = From Short-Term to Long-Term Demand Planning Enabled by SAP IBP /
Sankaran, Ganesh.

Improving Forecasts with Integrated Business PlanningFrom Short-Term to Long-Term Demand Planning Enabled by SAP IBP /[electronic resource] :by Ganesh Sankaran, Federico Sasso, Robert Kepczynski, Alessandro Chiaraviglio. - 1st ed. 2019. - XVI, 421 p.online resource. - Management for Professionals,2192-8096. - Management for Professionals,.

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.

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. .

ISBN: 9783030053819

Standard No.: 10.1007/978-3-030-05381-9doiSubjects--Topical Terms:

561123
Management information systems.

LC Class. No.: HD30.2

Dewey Class. No.: 658.4038

Improving Forecasts with Integrated Business Planning = From Short-Term to Long-Term Demand Planning Enabled by SAP IBP /
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