How To Fix /PF1/PE_PP005 - After last repeat attempt, &1 was flagged for restart


/PF1/PE_PP005 - Overview

  • Message type: E = Error

  • Message class: /PF1/PE_PP -

  • Message number: 005

  • Message text: After last repeat attempt, &1 was flagged for restart

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /PF1/PE_PP005 - After last repeat attempt, &1 was flagged for restart ?
    The SAP error message /PF1/PE_PP005 indicates that a process or job has failed after all its repeat attempts, and the system has flagged it for a restart. This error typically occurs in the context of production planning or process execution within SAP.
    
    Cause: Job Failure: The job or process encountered an error that it could not recover from after the maximum number of allowed retries. Data Issues: There may be issues with the data being processed, such as missing or incorrect information. Configuration Problems: Incorrect configuration settings in the system can lead to failures in job execution. Resource Availability: Lack of necessary resources (e.g., materials, capacity) can cause the job to fail. System Errors: Technical issues within the SAP system, such as database problems or system performance issues.
    Solution: Check Logs: Review the job logs and error messages to identify the specific cause of the failure. This can provide insights into what went wrong. Data Validation: Ensure that all

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