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Improving Forecasts with Integrated Business Planning

From Short-Term to Long-Term Demand Planning Enabled by SAP IBP

By: Ganesh Sankaran,Federico Sasso,Robert Kepczynski,Alessandro Chiaraviglio

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Improving Forecasts with Integrated Business Planning

From Short-Term to Long-Term Demand Planning Enabled by SAP IBP

By: Ganesh Sankaran,Federico Sasso,Robert Kepczynski,Alessandro Chiaraviglio

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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Page Count

430

Publisher

Springer

Published Date

ISBN 10

3030053814

ISBN 13

9783030053819

Improving Forecasts with Integrated Business Planning

From Short-Term to Long-Term Demand Planning Enabled by SAP IBP

By: Ganesh Sankaran,Federico Sasso,Robert Kepczynski,Alessandro Chiaraviglio

Write a review Read reviews Take a Quiz Solve Book Puzzle

Improving Forecasts with Integrated Business Planning

From Short-Term to Long-Term Demand Planning Enabled by SAP IBP

By: Ganesh Sankaran,Federico Sasso,Robert Kepczynski,Alessandro Chiaraviglio

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

430

Publisher

Springer

Published Date

ISBN 10

3030053814

ISBN 13

9783030053819