How To Fix /SAPAPO/ND206 - Optimizer has issued an error message (Analyze log file)


/SAPAPO/ND206 - Overview

  • Message type: E = Error

  • Message class: /SAPAPO/ND -

  • Message number: 206

  • Message text: Optimizer has issued an error message (Analyze log file)

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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.



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    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 /SAPAPO/ND206 - Optimizer has issued an error message (Analyze log file) ?
    The SAP error message /SAPAPO/ND206 indicates that there is an issue with the optimizer in SAP Advanced Planning and Optimization (APO). This error typically arises during the planning run when the optimizer encounters a problem that prevents it from completing its task successfully. The message suggests that you should analyze the log file for more details about the specific error.
    Causes
    The causes of the /SAPAPO/ND206 error can vary, but common reasons include:
    
    Data Issues: Incomplete or incorrect master data, such as product, location, or resource data, can lead to optimizer errors.
    Configuration Problems: Incorrect settings in the planning area or planning book configuration may cause the optimizer to fail.
    Resource Constraints: If there are insufficient resources or capacity constraints that are not properly defined, the optimizer may not be able to find a feasible solution.
    Infeasible Planning Scenario: The planning scenario may be infeasible due to conflicting constraints or unrealistic demand/supply data.
    Software Bugs: Occasionally, there

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