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Forecasting for WorldWide Supply Chain Processes with SAP's APO

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  • Christoph Seeger

Abstract

For many companies, forecasting is more than just an attempt to predict the future; it is the basis for worldwide production, capacity, and transportation planning. In this article, Seeger first describes how the forecasting process is managed at ContiTech Power Transmission Group to plan global material supplies. He then evaluates the forecasting tools within the Advanced Planner and Optimizer (APO) module of mySAP SCM. Copyright International Institute of Forecasters, 2006

Suggested Citation

  • Christoph Seeger, 2006. "Forecasting for WorldWide Supply Chain Processes with SAP's APO," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 5, pages 51-54, Fall.
  • Handle: RePEc:for:ijafaa:y:2006:i:5:p:51-54
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    Cited by:

    1. Holmes, Michael P. & Gray, Alexander G. & Isbell Jr., Charles Lee, 2010. "Fast kernel conditional density estimation: A dual-tree Monte Carlo approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1707-1718, July.

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