How To Fix QIE_SAMP_DRWP023 - Impermissible data for sample-drawing instr. of type "Sampling Scheme"

SAP Error Message - Details

• Message type: E = Error

• Message class: QIE_SAMP_DRWP - QIE Sample-Drawing Procedure

• Message number: 023

• Message text: Impermissible data for sample-drawing instr. of type "Sampling Scheme"

What causes this issue?

For a sample-drawing instruction of type <LS>Use Sampling Scheme </>,
you have specified a fixed number of samples, or you have <ZH>not</>
specified a sampling scheme. This is not allowed.

System Response

The system does not create or change the sample-drawing instruction.

How to fix this error?

Specify a sampling scheme.
Do not specify a fixed number of samples.

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message QIE_SAMP_DRWP023 - Impermissible data for sample-drawing instr. of type "Sampling Scheme" ?

  The SAP error message QIE_SAMP_DRWP023 indicates that there is impermissible data for the sample-drawing instruction of type "Sampling Scheme." This error typically arises in the context of quality management processes, particularly when dealing with sampling procedures in SAP.
  Cause:
  The error can be caused by several factors, including:
  
  
  Incorrect Configuration: The sampling scheme may not be properly configured in the system. This could involve incorrect settings for the sampling procedure or the parameters associated with it.
  
  
  Invalid Data Entry: There may be invalid or inconsistent data entered in the sampling scheme or related master data. This could include incorrect values for sample sizes, acceptance criteria, or other parameters.
  
  
  Incompatibility: The sampling scheme may not be compatible with the specific quality inspection lot or the material being inspected.
  
  
  Missing Master Data: Required master data for the sampling scheme may be missing or incomplete, leading to the error.
  
  
  Solution:
  To resolve the error, you can take the following steps:
  
  
  Check Sampling Scheme Configuration:
  
  Navigate to the configuration settings for the sampling scheme in SAP.
  Ensure that all parameters are correctly defined and that they align with the requirements of your quality management process.
  
  
  
  Review Data Entries:
  
  Verify the data entered for the sampling scheme and ensure that it adheres to the expected formats and values.
  Check for any inconsistencies or errors in the data.
  
  
  
  Validate Compatibility:
  
  Ensure that the sampling scheme is compatible with the quality inspection lot and the material being inspected.
  If necessary, adjust the sampling scheme or select a different one that is appropriate for the inspection.
  
  
  
  Check Master Data:
  
  Ensure that all required master data (e.g., material master, inspection plan) is complete and correctly configured.
  If any master data is missing, create or update it as needed.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for specific guidance on the sampling scheme and related configurations.
  
  
  
  Seek Support:
  
  If the issue persists, consider reaching out to your SAP support team or consulting with an SAP expert who can provide further assistance.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as QA32 (for quality inspection lot processing) and QDP1 (for defining sampling procedures).
  Quality Management Module: Understanding the broader context of the Quality Management (QM) module in SAP can help in troubleshooting and resolving issues related to sampling and inspection.
  SAP Notes: Check for any SAP Notes related to this error message, as they may provide specific fixes or updates that address the issue.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.