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Message type: E = Error
Message class: /SAPAPO/MC01HEUR -
Message number: 008
Message text: Overload in cycle from &1 &2 to &3 &4. Adjustment is not possible
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/SAPAPO/MC01HEUR008
- Overload in cycle from &1 &2 to &3 &4. Adjustment is not possible ?The SAP error message
/SAPAPO/MC01HEUR008
indicates that there is an overload in the cycle during the heuristic run in the Advanced Planning and Optimization (APO) module. This typically occurs when the system is unable to process the planned orders or production orders due to constraints in the planning cycle, such as capacity limitations or scheduling conflicts.Cause:
- Capacity Constraints: The production resources (like machines or labor) may be overloaded, meaning that the planned production exceeds the available capacity.
- Scheduling Conflicts: There may be overlapping orders or conflicting schedules that prevent the system from adjusting the planned orders.
- Incorrect Master Data: Issues with master data, such as incorrect resource settings, production versions, or planning parameters, can lead to this error.
- Heuristic Settings: The settings for the heuristic being used may not be appropriate for the current planning scenario.
Solution:
- Check Capacity: Review the capacity of the resources involved in the planning cycle. Ensure that the available capacity is sufficient to meet the planned production requirements.
- Adjust Planning Parameters: Modify the planning parameters or heuristic settings to better align with the current production environment.
- Reschedule Orders: If there are scheduling conflicts, consider rescheduling some of the orders to alleviate the overload.
- Review Master Data: Ensure that all relevant master data (like production resources, work centers, and production versions) is correctly configured and up to date.
- Run Heuristic in Smaller Batches: If possible, try running the heuristic in smaller batches to reduce the load on the system.
- Analyze Logs: Check the logs for more detailed information about the specific orders or resources causing the overload.
Related Information:
/SAPAPO/MC90
to analyze the heuristic runs and /SAPAPO/MC94
to check the capacity situation.By addressing the underlying causes and following the suggested solutions, you should be able to resolve the error and successfully run your planning heuristics.
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