How To Fix PR417 - Too few historical values for parameter optimization


PR417 - Overview

  • Message type: E = Error

  • Message class: PR - Forecast: Help messages

  • Message number: 417

  • Message text: Too few historical values for parameter optimization

  • Show details Hide details
  • What causes this issue?

    The process of optimizing the forecast model parameters is known as
    model initialization. A sufficient number of historical values need to
    be present before the system can carry out model initialization. This
    number varies depending on the forecast model:
    Model ,,No. of historical values
    Constant model ,,1
    Trend model ,,3
    Seasonal model ,,1 season
    Seasonal trend model ,,1 season + 3
    2nd-order exp. smoothing,,3
    Moving average ,,1
    Weighted moving average ,,1

    System Response

    The system cannot carry out the forecast because there are not enough
    historical values for the chosen forecast model.

    How to fix this error?

    If possible, choose a forecast model for which there are enough
    historical values.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message PR417 - Too few historical values for parameter optimization ?
    The SAP error message PR417 "Too few historical values for parameter optimization" typically occurs in the context of SAP's Advanced Planning and Optimization (APO) module, particularly when dealing with demand planning or supply network planning. This error indicates that there are insufficient historical data points available for the system to perform parameter optimization effectively.
    
    Cause: Insufficient Historical Data: The primary cause of this error is that the system does not have enough historical data points for the specific planning object (e.g., product, location) to calculate the necessary parameters for optimization. Data Gaps: There may be gaps in the historical data, such as missing periods or insufficient data points due to low sales volume or irregular demand patterns.
    Configuration Issues: Incorrect configuration of the planning parameters or settings in the APO system can also lead to this error.
    Solution: Increase Historical Data: Ensure that there is enough historical data available for the planning object. This may involve: Extending

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