How To Fix /SAPAPO/PP_OPTIMIZER285 - Infeasible problem

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/PP_OPTIMIZER -

• Message number: 285

• Message text: Infeasible problem

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/PP_OPTIMIZER285 - Infeasible problem ?

  The SAP error message /SAPAPO/PP_OPTIMIZER285 indicates that the optimization problem you are trying to solve in SAP Advanced Planning and Optimization (APO) is infeasible. This means that the constraints defined in your planning scenario cannot be satisfied simultaneously, leading to no feasible solution being found.
  Causes of the Infeasible Problem
  
  
  Overly Restrictive Constraints: The constraints set in the planning run (such as capacity constraints, demand constraints, or resource availability) may be too strict, making it impossible to find a solution.
  
  
  Incorrect Master Data: Issues with master data, such as incorrect resource capacities, incorrect product configurations, or missing data, can lead to infeasibility.
  
  
  Demand and Supply Mismatch: If the demand exceeds the available supply or if there are conflicting demands, it can lead to infeasibility.
  
  
  Planning Versions: Using the wrong planning version or not having the correct data in the version being used can also cause this issue.
  
  
  Resource Allocation: If resources are allocated in a way that they cannot meet the production requirements due to scheduling conflicts or maintenance downtimes, it can lead to infeasibility.
  
  
  Solutions to the Infeasible Problem
  
  
  Review Constraints: Analyze the constraints defined in your planning run. Consider relaxing some constraints to see if a feasible solution can be found.
  
  
  Check Master Data: Verify that all master data (e.g., resources, products, and their capacities) is accurate and up to date. Correct any discrepancies.
  
  
  Analyze Demand and Supply: Ensure that the demand is realistic and that there is sufficient supply to meet it. Adjust forecasts or production plans as necessary.
  
  
  Use the Feasibility Check: Utilize the feasibility check tools available in SAP APO to identify which constraints are causing the infeasibility.
  
  
  Adjust Planning Versions: Make sure you are using the correct planning version and that it contains all necessary data.
  
  
  Consult Logs and Messages: Review the logs and messages generated during the planning run for additional insights into what might be causing the infeasibility.
  
  
  Run a Simplified Model: If possible, run a simplified version of your planning scenario to isolate the problem.
  
  
  Seek Expert Help: If the issue persists, consider consulting with an SAP APO expert or your SAP support team for further assistance.
  
  
  Related Information
  
  SAP Notes: Check for any relevant SAP Notes that might address known issues or provide patches related to the optimizer.
  Documentation: Review the SAP APO documentation for guidelines on setting up constraints and understanding the optimization process.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed.
  
  By systematically addressing the potential causes and applying the suggested solutions, you should be able to resolve the infeasibility issue in your SAP APO planning scenario.