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Message type: E = Error
Message class: PP_KAB_ODATA_API_KCC - Messages for Kanban Control Cycle OData API
Message number: 015
Message text: Values for the product/plant/supply area missing
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PP_KAB_ODATA_API_KCC015
- Values for the product/plant/supply area missing ?The SAP error message PP_KAB_ODATA_API_KCC015 indicates that there are missing values for the product, plant, or supply area in the context of an OData API call related to production planning or related processes. This error typically arises when the system is unable to find the necessary data to process a request, which can be due to various reasons.
Causes:
- Missing Master Data: The product, plant, or supply area may not be defined in the system. This could happen if the relevant master data has not been created or has been deleted.
- Incorrect Input Parameters: The parameters being sent in the OData API request may be incorrect or incomplete, leading to the system not being able to find the required data.
- Authorization Issues: The user making the API call may not have the necessary authorizations to access the data for the specified product, plant, or supply area.
- Configuration Issues: There may be configuration issues in the system that prevent the proper mapping or retrieval of the required data.
Solutions:
- Check Master Data: Verify that the product, plant, and supply area exist in the system. You can do this by checking the relevant master data tables (e.g., MARA for material master, T001 for company codes).
- Validate Input Parameters: Ensure that the parameters being sent in the OData API request are correct and complete. Double-check the values for product, plant, and supply area.
- Review Authorizations: Check the user roles and authorizations to ensure that the user has the necessary permissions to access the data.
- Consult Configuration: Review the configuration settings related to the product, plant, and supply area to ensure that they are set up correctly.
- Debugging: If you have access to the backend, you can debug the OData service to see where the failure occurs and what data is being processed.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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