How To Fix RPLM_RECORD_RESULTS030 - The mean value &1 for characteristic &2 is outside the tolerance range

SAP Error Message - Details

• Message type: E = Error

• Message class: RPLM_RECORD_RESULTS - Messages for Results Recording for Portal Role

• Message number: 030

• Message text: The mean value &1 for characteristic &2 is outside the tolerance range

What causes this issue?

The number of measured values outside the tolerance range is either
zero, or the mean value violates the opposing tolerance limit to the
measured values.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Check and, if necessary, correct your entry for the mean value and the
number of measured values below and above the tolerance range.
Note
If the valuation of the characteristic or the partial sample is
performed based on the number of nonconforming units, you should specify
the number of measured values above and below the tolerance range. If
the number of nonconforming units is zero, the characteristic or sample
will be accepted.
If the inspected sample size is 1, the number of measured values above
or below the tolerance limits is transferred if the mean value violates
a tolerance limit.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RPLM_RECORD_RESULTS030 - The mean value &1 for characteristic &2 is outside the tolerance range ?

  The SAP error message RPLM_RECORD_RESULTS030 indicates that the mean value calculated for a specific characteristic is outside the defined tolerance range. This error typically occurs in the context of quality management or production processes where measurements are taken and compared against predefined specifications.
  Cause:
  
  Mean Value Calculation: The mean value for the characteristic is calculated based on the recorded results. If this mean value exceeds the upper tolerance limit or falls below the lower tolerance limit, the error is triggered.
  Tolerance Settings: The tolerance limits for the characteristic may not be set correctly in the system, or they may be too narrow for the expected variations in the process.
  Data Entry Errors: Incorrect or outlier data entries can skew the mean value, leading to this error.
  Measurement Variability: Natural variability in the production process may lead to mean values that fall outside the acceptable range.
  
  Solution:
  
  Review Tolerance Settings: Check the tolerance limits set for the characteristic in the material master or inspection plan. Adjust them if necessary to reflect realistic expectations.
  Analyze Recorded Results: Review the individual measurement results that contributed to the mean value. Look for any outliers or erroneous data entries that may need correction.
  Recalculate Mean Value: If adjustments are made to the data or tolerance settings, recalculate the mean value to see if it now falls within the acceptable range.
  Quality Control: Implement additional quality control measures to ensure that the process remains within the defined tolerance limits. This may include better training for operators, improved measurement techniques, or more frequent checks.
  Consult Documentation: Refer to SAP documentation or consult with your SAP support team for specific guidance related to your configuration and processes.
  
  Related Information:
  
  SAP Modules: This error is commonly encountered in modules related to Quality Management (QM) and Production Planning (PP).
  Transaction Codes: You may encounter this error while using transaction codes related to quality inspections, such as QA32 (Change Inspection Lot) or QA11 (Record Results).
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional troubleshooting steps.
  User Exits and BAdIs: If custom logic is implemented in your SAP system, review any user exits or BAdIs that may affect how mean values and tolerances are calculated.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.