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Message type: E = Error
Message class: /SAPAPO/PP_OPTIMIZER -
Message number: 043
Message text: Resource &1: Overload not taken into account
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/SAPAPO/PP_OPTIMIZER043
- Resource &1: Overload not taken into account ?The SAP error message
/SAPAPO/PP_OPTIMIZER043
indicates that there is an overload situation for a resource in the Advanced Planning and Optimization (APO) module, specifically in the context of the PP (Production Planning) Optimizer. This message typically arises when the optimizer is unable to consider the overload of a resource during the planning process.Cause:
- Resource Overload: The resource specified in the error message is overloaded, meaning that the planned production exceeds the available capacity of that resource.
- Capacity Constraints: The optimizer may not have been configured to take into account certain capacity constraints or overload situations.
- Incorrect Resource Settings: The resource may not be set up correctly in terms of its capacity, availability, or other relevant parameters.
- Planning Version: The planning version being used may not reflect the current capacity settings or may have outdated data.
Solution:
- Check Resource Capacity: Review the capacity settings for the resource in question. Ensure that the available capacity is correctly defined and that it matches the expected production requirements.
- Adjust Production Plans: Modify the production plan to ensure that it does not exceed the available capacity of the resource. This may involve rescheduling production orders or adjusting quantities.
- Review Capacity Planning Settings: Ensure that the optimizer is configured to consider overload situations. This may involve checking the settings in the planning book or the optimizer profile.
- Use Alternative Resources: If possible, consider using alternative resources that may have available capacity to fulfill the production requirements.
- Check for Errors in Master Data: Ensure that the master data for the resource, including its capacity and availability, is accurate and up to date.
- Run Capacity Evaluation: Perform a capacity evaluation to identify any potential overloads and adjust the planning accordingly.
Related Information:
/SAPAPO/OPTIMIZER
to access the optimizer settings or /SAPAPO/CC01
to check capacity planning.By following these steps, you should be able to identify the cause of the overload issue and implement a solution to resolve the error message.
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