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Message type: E = Error
Message class: /SAPAPO/MC013X40 -
Message number: 010
Message text: CDP data for plan '&1' cannot be converted
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/SAPAPO/MC013X40010
- CDP data for plan '&1' cannot be converted ?The SAP error message
/SAPAPO/MC013X40010
indicates that there is an issue with converting the CDP (Cumulative Distribution Planning) data for a specific plan in SAP Advanced Planning and Optimization (APO). This error typically arises when there are inconsistencies or issues with the data that prevent it from being processed correctly.Causes:
- Data Inconsistencies: The CDP data may contain inconsistencies or invalid entries that cannot be converted.
- Missing Master Data: Required master data (like product, location, or planning version) may be missing or not properly maintained.
- Incorrect Configuration: The configuration settings for the planning area or the planning version may not be set up correctly.
- Data Type Mismatch: There may be a mismatch in the expected data types or formats for the CDP data.
- Version Issues: The planning version being used may not be compatible with the data being processed.
Solutions:
- Check Data Consistency: Review the CDP data for any inconsistencies or errors. Use transaction codes like
/SAPAPO/CDP
to analyze the data.- Validate Master Data: Ensure that all necessary master data is available and correctly maintained. Check for missing or incorrect entries in the product master, location master, etc.
- Review Configuration: Verify the configuration settings for the planning area and planning version. Ensure that they are set up correctly and are compatible with the CDP data.
- Data Type Verification: Check the data types and formats of the CDP data to ensure they match the expected formats in the system.
- Check Version Compatibility: Ensure that the planning version being used is compatible with the CDP data. If necessary, create a new planning version or adjust the existing one.
Related Information:
/SAPAPO/CDP
, /SAPAPO/MC13
, and /SAPAPO/MC12
for managing and analyzing CDP data.By following these steps, you should be able to identify the root cause of the error and implement the necessary solutions to resolve it.
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