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Message type: E = Error
Message class: UPF1 - Messages SEM-BPS Forecast
Message number: 023
Message text: Seasonal index is 0
The historic data contains several values that are lesser than or equal
to 0. The calculation formula for exponential smoothing cannot be
applied in all cases. This can have a negative effect on the result of
the forecast.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Check the accuracy of the forecast.
Error message extract from SAP system. Copyright SAP SE.
UPF1023
- Seasonal index is 0 ?The SAP error message UPF1023, which states "Seasonal index is 0," typically occurs in the context of SAP's forecasting and planning functionalities, particularly when using the SAP Integrated Business Planning (IBP) or SAP Advanced Planning and Optimization (APO) modules. This error indicates that the system has encountered a seasonal index value of zero, which is problematic for calculations that rely on seasonal adjustments.
Cause:
- Missing Data: The seasonal index is calculated based on historical data. If there is insufficient historical data for the period being analyzed, the system may not be able to compute a valid seasonal index.
- Data Quality Issues: If the historical data contains errors, such as missing values or incorrect entries, it can lead to a zero seasonal index.
- Configuration Issues: Incorrect configuration of the forecasting model or parameters may lead to the calculation of a zero seasonal index.
- Seasonality Not Defined: If the product or time series does not have defined seasonality, the system may default to a seasonal index of zero.
Solution:
- Check Historical Data: Ensure that there is sufficient and accurate historical data for the time series in question. Look for any missing values or anomalies in the data.
- Review Configuration: Verify the configuration settings for the forecasting model. Ensure that the seasonal patterns are correctly defined and that the model is set up to recognize seasonality.
- Adjust Forecasting Parameters: If applicable, adjust the parameters used in the forecasting model to ensure that it can compute a valid seasonal index.
- Data Cleansing: Cleanse the data to remove any errors or inconsistencies that may affect the calculation of the seasonal index.
- Recalculate Seasonal Index: After addressing data quality and configuration issues, recalculate the seasonal index to see if it resolves the error.
Related Information:
By following these steps, you should be able to identify the root cause of the UPF1023 error and implement a solution to resolve it.
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