书目名称 | Improving Forecasts with Integrated Business Planning | 副标题 | From Short-Term to L | 编辑 | Ganesh Sankaran,Federico Sasso,Alessandro Chiaravi | 视频video | | 概述 | Describes out of the box forecasting methods for SAP IBP practitioners.Provides guidance on organizational structure, roles, responsibilities and skills for demand planning teams.Presents SAP IBP cust | 丛书名称 | Management for Professionals | 图书封面 |  | 描述 | .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 pro | 出版日期 | Book 2019 | 关键词 | Sales forcasting; IBP; Integrated business planning; SAP IBP; Demand planning; Use cases | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-05381-9 | isbn_ebook | 978-3-030-05381-9Series ISSN 2192-8096 Series E-ISSN 2192-810X | issn_series | 2192-8096 | copyright | Springer Nature Switzerland AG 2019 |
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