How To Fix /SAPAPO/OPT_SEQ_STA018 - Optimization completed without solution


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/OPT_SEQ_STA -

  • Message number: 018

  • Message text: Optimization completed without solution

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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).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/OPT_SEQ_STA018 - Optimization completed without solution ?

    The SAP error message /SAPAPO/OPT_SEQ_STA018 indicates that an optimization run in SAP Advanced Planning and Optimization (APO) has completed, but no feasible solution was found. This can occur in various scenarios, particularly in supply chain planning and production scheduling.

    Causes:

    1. Insufficient Resources: There may not be enough resources (e.g., machines, labor) available to meet the demand.
    2. Conflicting Constraints: Constraints set in the planning run (like capacity constraints, time constraints, or material availability) may be too strict, preventing any feasible solution.
    3. Incorrect Master Data: Issues with master data, such as incorrect product configurations, resource definitions, or planning parameters, can lead to infeasibility.
    4. Demand and Supply Mismatch: The demand may exceed the supply capabilities, leading to no feasible solution.
    5. Planning Version Issues: The planning version being used may not be correctly set up or may have been changed, leading to inconsistencies.
    6. Optimization Settings: The settings used for the optimization run may not be appropriate for the current planning scenario.

    Solutions:

    1. Review Constraints: Check the constraints defined in the planning run. Consider relaxing some constraints to allow for a feasible solution.
    2. Check Master Data: Verify that all relevant master data (materials, resources, production versions, etc.) is accurate and complete.
    3. Analyze Demand and Supply: Ensure that the demand is aligned with the available supply. Adjust forecasts or production plans as necessary.
    4. Adjust Planning Parameters: Review and adjust the planning parameters and settings used in the optimization run.
    5. Run Feasibility Check: Before running the optimization, perform a feasibility check to identify potential issues.
    6. Use Alternative Planning Versions: If applicable, try using a different planning version that may have more appropriate settings or data.
    7. Consult Logs and Messages: Review the logs and messages generated during the optimization run for additional insights into what might have gone wrong.

    Related Information:

    • Transaction Codes: Use transaction codes like /SAPAPO/OPTIMIZE to access optimization runs and /SAPAPO/MC90 for checking master data.
    • SAP Notes: Check SAP Notes for any known issues or patches related to the optimization process.
    • Documentation: Refer to SAP documentation for APO optimization to understand the parameters and settings that can affect the optimization process.
    • Support: If the issue persists, consider reaching out to SAP support for further assistance, providing them with detailed logs and configuration settings.

    By systematically addressing the potential causes and applying the suggested solutions, you should be able to resolve the error and achieve a feasible optimization solution.

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