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Message type: E = Error
Message class: /SAPAPO/PR -
Message number: 467
Message text: Trend dampening terminated; negative forecast values
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/SAPAPO/PR467
- Trend dampening terminated; negative forecast values ?The SAP error message
/SAPAPO/PR467 Trend dampening terminated; negative forecast values
typically occurs in the context of SAP Advanced Planning and Optimization (APO) when the system encounters negative forecast values during the trend dampening process. This can happen in various forecasting methods where the forecast is expected to be non-negative, such as in demand planning.Cause:
- Negative Historical Data: If the historical data used for forecasting contains negative values, it can lead to negative forecast values when applying certain forecasting methods.
- Inappropriate Forecasting Model: The selected forecasting model may not be suitable for the data characteristics, especially if it assumes non-negative values.
- Data Entry Errors: Incorrect data entry or data corruption can lead to negative values in the dataset.
- Parameter Settings: Incorrect settings in the forecasting parameters or methods can also lead to this issue.
Solution:
- Check Historical Data: Review the historical data for negative values. If found, assess whether these values are valid or if they need correction.
- Adjust Forecasting Model: Consider using a different forecasting model that can handle negative values or is more appropriate for the data characteristics.
- Data Cleansing: Clean the data to remove or correct any erroneous negative values. This may involve adjusting the data entry process or implementing validation checks.
- Review Parameter Settings: Check the settings for the forecasting method being used. Ensure that they are appropriate for the data and that they do not lead to negative forecasts.
- Use of Constraints: If applicable, apply constraints to ensure that forecast values remain non-negative.
Related Information:
By addressing the root causes and implementing the suggested solutions, you should be able to resolve the error and ensure that the forecasting process runs smoothly.
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