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Message type: E = Error
Message class: /SCA/SNC_CCMS -
Message number: 002
Message text: Runtime of the latest forecast run in seconds per location product
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/SCA/SNC_CCMS002
- Runtime of the latest forecast run in seconds per location product ?The SAP error message
/SCA/SNC_CCMS002
typically relates to issues encountered during the execution of a forecast run in the Supply Chain Management (SCM) module, particularly when dealing with location product data. This error can indicate that the runtime for the latest forecast run exceeded expected limits or encountered issues that prevented it from completing successfully.Possible Causes:
- Data Volume: A large volume of data being processed can lead to longer runtimes. If there are many location products or extensive historical data, this can slow down the forecast run.
- System Performance: Insufficient system resources (CPU, memory, etc.) can impact the performance of the forecast run.
- Configuration Issues: Incorrect configuration settings in the forecasting model or parameters can lead to inefficiencies.
- Background Job Issues: If the forecast run is executed as a background job, issues with the job scheduling or execution environment can cause delays.
- Database Performance: Slow database queries or locks on database tables can also contribute to longer runtimes.
Solutions:
- Optimize Data: Review the data being processed. Consider archiving old data or reducing the dataset size if possible.
- System Resources: Monitor system performance and ensure that adequate resources are allocated. Consider upgrading hardware or optimizing the system configuration.
- Review Configuration: Check the configuration settings for the forecasting model. Ensure that they are set up correctly and optimized for performance.
- Job Scheduling: If the forecast run is scheduled as a background job, check the job logs for any errors or warnings. Reschedule the job during off-peak hours if necessary.
- Database Optimization: Work with your database administrator to optimize database performance. This may include indexing, query optimization, or resolving locks.
Related Information:
SM37
to monitor background jobs and ST22
to check for dumps that may provide more insight into the error.ST03N
to analyze system performance and identify bottlenecks.If the issue persists after trying the above solutions, it may be beneficial to engage SAP support for further assistance.
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