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Message type: E = Error
Message class: /SAPAPO/ND -
Message number: 345
Message text: Problem inadmissible (insoluble)
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.
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/SAPAPO/ND345
- Problem inadmissible (insoluble) ?The SAP error message
/SAPAPO/ND345 Problem inadmissible (insoluble)
typically occurs in the context of Advanced Planning and Optimization (APO) within SAP. This error indicates that the system has encountered a problem in the planning process that it cannot resolve due to constraints or conditions that make the problem unsolvable.Causes:
- Infeasible Constraints: The planning problem may have constraints that cannot be satisfied simultaneously. This could be due to capacity limitations, demand exceeding supply, or conflicting planning parameters.
- Incorrect Master Data: Issues with master data, such as incorrect product configurations, resource availability, or planning versions, can lead to infeasibility.
- Planning Parameters: Incorrectly set planning parameters or heuristics that do not align with the current data can cause the planning run to fail.
- Data Integrity Issues: Missing or inconsistent data in the system can lead to situations where the optimizer cannot find a feasible solution.
Solutions:
- Review Constraints: Analyze the constraints defined in the planning run. Ensure that they are realistic and can be satisfied with the available resources and demand.
- Check Master Data: Verify the master data for products, resources, and locations. Ensure that all necessary data is complete and accurate.
- Adjust Planning Parameters: Review and adjust the planning parameters or heuristics being used. Sometimes, changing the planning strategy can help find a feasible solution.
- Run Feasibility Checks: Use the feasibility check tools available in SAP APO to identify specific issues causing the problem. This can help pinpoint the exact constraints or data issues.
- Consult Logs and Messages: Check the logs and messages generated during the planning run for additional details on what might be causing the issue.
- Test with Simplified Data: If possible, run the planning process with a simplified dataset to isolate the problem and identify which constraints or data points are causing the infeasibility.
Related Information:
/SAPAPO/SDP94
for planning book analysis or /SAPAPO/MC90
for checking planning runs.If the issue persists after trying the above solutions, it may be beneficial to consult with an SAP APO expert or reach out to SAP support for further assistance.
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