How To Fix /SAPAPO/PP_OPTIMIZER286 - Fixed partial problem cannot be solved

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/PP_OPTIMIZER -

• Message number: 286

• Message text: Fixed partial problem cannot be solved

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/PP_OPTIMIZER286 - Fixed partial problem cannot be solved ?

  The SAP error message /SAPAPO/PP_OPTIMIZER286 Fixed partial problem cannot be solved typically occurs in the context of the SAP Advanced Planning and Optimization (APO) module, particularly when using the PP/DS (Production Planning and Detailed Scheduling) optimizer. This error indicates that the optimizer is unable to find a feasible solution for the fixed partial problem it is trying to solve.
  Causes:
  
  
  Infeasible Constraints: The constraints defined in the planning scenario may be too strict, making it impossible for the optimizer to find a solution. This can include capacity constraints, resource availability, or material availability.
  
  
  Incorrect Master Data: Issues with master data, such as incorrect production versions, resource definitions, or product configurations, can lead to infeasibility.
  
  
  Planning Parameters: Incorrect or overly restrictive planning parameters (like lead times, setup times, or batch sizes) can also contribute to this error.
  
  
  Data Inconsistencies: Inconsistencies in the data, such as missing or incorrect entries in the planning books or data views, can lead to problems during optimization.
  
  
  Fixed Orders: If there are fixed orders or fixed production quantities that cannot be met due to capacity or material constraints, this can lead to the error.
  
  
  Solutions:
  
  
  Review Constraints: Check the constraints defined in the planning scenario. Ensure that they are realistic and not overly restrictive. Adjust them if necessary.
  
  
  Validate Master Data: Ensure that all relevant master data (materials, resources, production versions, etc.) is correctly maintained and consistent. Look for any discrepancies or missing data.
  
  
  Adjust Planning Parameters: Review and adjust the planning parameters to ensure they are not too restrictive. This includes lead times, setup times, and batch sizes.
  
  
  Check Fixed Orders: If there are fixed orders, review them to ensure they can be fulfilled given the current capacity and material availability. Consider adjusting or removing fixed orders if they are causing infeasibility.
  
  
  Run a Simplified Scenario: If possible, try running a simplified version of the planning scenario to identify if specific constraints or data are causing the issue.
  
  
  Use the Debugging Tools: Utilize the debugging tools available in SAP APO to trace the optimization process and identify where it fails.
  
  
  Consult SAP Notes: Check for any relevant SAP Notes or updates that may address known issues related to this error.
  
  
  Seek Expert Help: If the issue persists, consider consulting with an SAP APO expert or reaching out to SAP support for assistance.
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as /SAPAPO/OPTIMIZER for running the optimizer and /SAPAPO/MC90 for checking the planning book settings.
  Documentation: Review SAP documentation related to the PP/DS optimizer for best practices and configuration guidelines.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed and resolved.
  
  By systematically addressing the potential causes and applying the suggested solutions, you should be able to resolve the error and successfully run the optimizer in SAP APO.