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Message type: E = Error
Message class: /SAPAPO/AMON_ALERTS -
Message number: 423
Message text: MAPE upper limit exceeded
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/SAPAPO/AMON_ALERTS423
- MAPE upper limit exceeded ?The SAP error message
/SAPAPO/AMON_ALERTS423 MAPE upper limit exceeded
is related to the Advanced Planning and Optimization (APO) module in SAP. This error typically indicates that the Mean Absolute Percentage Error (MAPE) for a forecast or planning scenario has exceeded a predefined threshold. MAPE is a measure used to assess the accuracy of a forecasting model, and when it exceeds the upper limit, it suggests that the forecast may not be reliable.Causes:
- Inaccurate Historical Data: If the historical data used for forecasting is inaccurate or contains outliers, it can lead to poor forecast accuracy.
- Model Selection: The forecasting model being used may not be suitable for the data characteristics, leading to high MAPE values.
- Data Volume: A small volume of data can lead to unreliable forecasts, as there may not be enough information to generate accurate predictions.
- Seasonality and Trends: If the data exhibits strong seasonal patterns or trends that are not accounted for in the forecasting model, it can result in high MAPE.
- Parameter Settings: The upper limit for MAPE may be set too low for certain products or scenarios, leading to frequent alerts.
Solutions:
- Review Historical Data: Check the historical data for accuracy and completeness. Clean the data by removing outliers or correcting errors.
- Adjust Forecasting Model: Consider using a different forecasting model that may better fit the data characteristics. Experiment with various models to find the best fit.
- Increase Data Volume: If possible, increase the amount of historical data used for forecasting to improve accuracy.
- Adjust MAPE Threshold: If the current upper limit for MAPE is too strict, consider adjusting it to a more realistic value based on the specific context of the product or scenario.
- Incorporate Seasonality and Trends: Ensure that the forecasting model accounts for any seasonal patterns or trends present in the data.
- Monitor and Analyze: Continuously monitor the forecasting performance and analyze the reasons for high MAPE values. Use this analysis to refine the forecasting process.
Related Information:
By addressing the underlying causes and implementing the suggested solutions, you can reduce the occurrence of the /SAPAPO/AMON_ALERTS423 MAPE upper limit exceeded
error and improve the accuracy of your forecasts in SAP APO.
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