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Improving forecasts with integrated ...
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Sankaran, Ganesh.
Improving forecasts with integrated business planningfrom short-term to long-term demand planning enabled by SAP IBP /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Improving forecasts with integrated business planningby Ganesh Sankaran ... [et al.].
Reminder of title:
from short-term to long-term demand planning enabled by SAP IBP /
other author:
Sankaran, Ganesh.
Published:
Cham :Springer International Publishing :2019.
Description:
xvi, 421 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Management information systems.
Online resource:
https://doi.org/10.1007/978-3-030-05381-9
ISBN:
9783030053819$q(electronic bk.)
Improving forecasts with integrated business planningfrom short-term to long-term demand planning enabled by SAP IBP /
Improving forecasts with integrated business planning
from short-term to long-term demand planning enabled by SAP IBP /[electronic resource] :by Ganesh Sankaran ... [et al.]. - Cham :Springer International Publishing :2019. - xvi, 421 p. :ill., digital ;24 cm. - 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$q(electronic bk.)
Standard No.: 10.1007/978-3-030-05381-9doiSubjects--Topical Terms:
199355
Management information systems.
LC Class. No.: HD30.213
Dewey Class. No.: 658.4038
Improving forecasts with integrated business planningfrom short-term to long-term demand planning enabled by SAP IBP /
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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.
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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.
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Business and Management (Springer-41169)
based on 0 review(s)
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1圖書
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EB HD30.213 I34 2019 2019
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-05381-9
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