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Message type: E = Error
Message class: /SAPAPO/OPT_SEQ_STA -
Message number: 019
Message text: Optimization completed with a partial solution
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/SAPAPO/OPT_SEQ_STA019
- Optimization completed with a partial solution ?The SAP error message
/SAPAPO/OPT_SEQ_STA019
indicates that an optimization process in SAP Advanced Planning and Optimization (APO) has completed, but only with a partial solution. This typically means that the optimization algorithm was unable to find a complete solution that satisfies all constraints and requirements defined in the planning scenario.Causes:
- Insufficient Capacity: The resources (e.g., production capacity, storage capacity) may not be sufficient to meet the demand, leading to a partial solution.
- Conflicting Constraints: There may be conflicting constraints in the planning model, such as production constraints, transportation constraints, or inventory policies that cannot all be satisfied simultaneously.
- High Demand or Low Supply: A sudden spike in demand or a decrease in supply can lead to situations where the optimization cannot fulfill all requirements.
- Incorrect Master Data: Issues with master data, such as incorrect lead times, lot sizes, or resource availability, can lead to suboptimal planning results.
- Optimization Parameters: The settings or parameters used in the optimization run may not be appropriate for the current planning scenario.
Solutions:
- Review Capacity and Constraints: Check the capacity of resources and ensure that they are sufficient to meet the demand. Adjust constraints if necessary.
- Analyze Demand and Supply: Look for discrepancies in demand and supply. If demand is too high, consider adjusting forecasts or managing customer expectations.
- Check Master Data: Validate the master data for accuracy. Ensure that lead times, lot sizes, and resource availability are correctly defined.
- Adjust Optimization Parameters: Review and adjust the optimization parameters to better align with the current planning scenario.
- Run What-If Scenarios: Use what-if analysis to simulate different scenarios and understand how changes in constraints or demand can affect the optimization results.
- Consult Logs and Messages: Review the optimization logs and messages for additional details on what constraints were not met, which can provide insights into the specific issues causing the partial solution.
Related Information:
By addressing the underlying causes and implementing the suggested solutions, you can work towards achieving a complete solution in your optimization runs within SAP APO.
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