How To Fix O3294 - AGA8:Error code 4: Maximum iterations exceeded


O3294 - Overview

  • Message type: E = Error

  • Message class: O3 - IS-Oil: HPM messages (goods movements, QCI, deliveries)

  • Message number: 294

  • Message text: AGA8:Error code 4: Maximum iterations exceeded

  • Show details Hide details
  • What causes this issue?

    The AGA c-code has exceeded the maximum number of iteratons (a pass
    through a group of program instructions) in the DDETAIL sub-routine.
    It cannot calculate a compression factor.

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

    System Response

    The QCI (Quantity Conversion Interface) stops processing.

    How to fix this error?

    Check the input parameters for the method.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message O3294 - AGA8:Error code 4: Maximum iterations exceeded ?
    The SAP error message O3294 AGA8: "Error code 4: Maximum iterations exceeded" typically occurs in the context of the SAP Advanced Planning and Optimization (APO) module, particularly during the planning run or optimization processes. This error indicates that the algorithm used for planning or optimization has reached the maximum number of iterations allowed without converging to a solution.
    Causes:
    
    Complexity of the Problem: The planning problem may be too complex, leading to difficulties in finding a feasible solution within the set iteration limits.
    Data Issues: Inaccurate or incomplete master data, such as incorrect demand forecasts, capacity constraints, or resource availability, can lead to convergence issues.
    Configuration Settings: The settings for the planning run, including the maximum number of iterations, may be too low for the complexity of the problem.
    Modeling Errors: Errors in the planning model or constraints can lead to infeasibility, causing the algorithm to fail to converge.
    Performance Issues: System performance issues, such as

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