How To Fix PPC1VA024 - Data was checked


PPC1VA024 - Overview

  • Message type: E = Error

  • Message class: PPC1VA - Messages for Variance Dialog for DI Backflush

  • Message number: 024

  • Message text: Data was checked

  • Show details Hide details
  • What causes this issue?

    The new data entered and/or data changed was checked.

    System Response

    The system uses a traffic light to show the status of the check per
    line. A green light shows that no errors were found for the line during
    the check. A red light shows that an error was found for the line
    during the check.

    How to fix this error?

    The lines without errors can be posted. The lines with errors are not
    included in the posting and are still displayed after the posting has
    taken place. You can get a detailed description of the error for a line
    by double-clicking on the line.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


PPC1VA024 - Details

  • The SAP error message PPC1VA024 typically indicates that there is an issue with the data validation in the context of the SAP system, particularly related to the Production Planning and Control (PP) module. This error can arise during various processes, such as when trying to create or modify production orders, or when performing planning activities.
    
    Cause: The error message "Data was checked" suggests that the system has performed a validation check on the data you are trying to process, and it has found inconsistencies or issues that prevent the operation from being completed. Common causes for this error include: Missing or Incorrect Master Data: This could involve issues with material master data, bill of materials (BOM), routing, or work center data.
    Configuration Issues: Incorrect settings in the configuration of the PP module can lead to validation errors. Data Inconsistencies: There may be inconsistencies in the data being processed, such as incorrect quantities, dates, or statuses. Authorization

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