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Message type: E = Error
Message class: /SAPAPO/ESPP_PR -
Message number: 410
Message text: Insufficient historical values available for model choice
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/SAPAPO/ESPP_PR410
- Insufficient historical values available for model choice ?The SAP error message
/SAPAPO/ESPP_PR410
indicates that there are insufficient historical values available for the model choice in the context of demand planning or forecasting within SAP Advanced Planning and Optimization (APO). This error typically arises when the system attempts to generate a forecast using a statistical model that requires a certain amount of historical data, but the available data is either insufficient or does not meet the criteria set for the model.Causes:
- Insufficient Historical Data: The primary cause is that there is not enough historical data for the specific product or location to generate a reliable forecast.
- Data Gaps: There may be gaps in the historical data, such as missing periods or irregular data entries.
- Model Requirements: The selected forecasting model may have specific requirements regarding the amount and type of historical data needed.
- Configuration Issues: Incorrect configuration of the forecasting model or settings in the planning book can lead to this error.
Solutions:
- Check Historical Data: Review the historical data for the product/location in question. Ensure that there is sufficient data available for the forecasting model being used.
- Adjust Forecasting Model: If the current model requires more data than is available, consider switching to a different forecasting model that can work with less historical data.
- Data Cleansing: Clean the historical data to remove any gaps or inconsistencies. Ensure that the data is complete and accurately reflects the demand patterns.
- Increase Historical Data: If possible, extend the historical data period by including more past data, which may help in meeting the model's requirements.
- Review Configuration: Check the configuration settings for the forecasting model in the planning book. Ensure that the settings align with the available data and the requirements of the model.
- Use Alternative Forecasting Techniques: If statistical models are not feasible due to data limitations, consider using qualitative forecasting methods or expert judgment.
Related Information:
By addressing the underlying issues related to historical data availability and model selection, you can resolve the error and improve the forecasting process in SAP APO.
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