How To Fix /SAPAPO/ESPP_PR446 - Outlier correction performed; &1 outlier(s) corrected


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/ESPP_PR -

  • Message number: 446

  • Message text: Outlier correction performed; &1 outlier(s) corrected

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/ESPP_PR446 - Outlier correction performed; &1 outlier(s) corrected ?

    The SAP error message /SAPAPO/ESPP_PR446 indicates that an outlier correction has been performed during the planning process in SAP Advanced Planning and Optimization (APO). This message typically arises in the context of demand planning or supply planning when the system identifies data points that deviate significantly from the expected trend or pattern.

    Cause:

    1. Outlier Detection: The system has detected one or more data points (outliers) that are significantly different from the rest of the data. This could be due to:

      • Data entry errors (e.g., incorrect sales figures).
      • Seasonal fluctuations or anomalies in demand.
      • Changes in market conditions or external factors affecting demand.
    2. Configuration Settings: The outlier detection settings in the planning book or the configuration of the forecasting method may be set to be very sensitive, leading to frequent identification of outliers.

    Solution:

    1. Review the Data: Check the data points that have been flagged as outliers. This can be done by:

      • Analyzing the historical data to understand the context of the outliers.
      • Verifying if the outlier data points are valid or if they need correction.
    2. Adjust Outlier Settings: If the outlier detection is too sensitive, consider adjusting the configuration settings:

      • Modify the outlier detection thresholds in the forecasting model.
      • Change the parameters of the forecasting method being used.
    3. Data Correction: If the outliers are due to data entry errors, correct the underlying data in the system.

    4. Consult Documentation: Refer to SAP documentation or help resources for specific guidance on handling outliers in your version of SAP APO.

    5. Testing: After making adjustments, run the planning process again to see if the outlier correction still occurs.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address specific issues related to outlier detection and correction.
    • Training and Documentation: Review training materials or documentation related to demand planning and forecasting in SAP APO to better understand how outlier detection works.
    • Community Forums: Engage with SAP community forums or user groups to see if others have encountered similar issues and what solutions they have implemented.

    By following these steps, you should be able to address the outlier correction message and improve the accuracy of your planning processes in SAP APO.

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