How To Fix QY307 - Samp. determination: Data missing for no. of containers and lot container


QY307 - Overview

  • Message type: E = Error

  • Message class: QY - QM: Sample management

  • Message number: 307

  • Message text: Samp. determination: Data missing for no. of containers and lot container

  • Show details Hide details
  • What causes this issue?

    The specifications in the sample-drawing procedure and inspection lot do
    not agree.
    The sample-drawing procedure that is assigned to the task list requires:

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

    The system to select a sample-drawing item on the basis of a lot
    container
    The number of samples to be calculated on the basis of the
    number of containers in the inspection lot
    The inspection lot, however, does not contain any information about the
    lot container and number of lot containers.

    System Response

    How to fix this error?

    Enter the missing information for the lot container and number of lot
    containers in the inspection lot.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message QY307 - Samp. determination: Data missing for no. of containers and lot container ?
    The SAP error message QY307, which indicates "Samp. determination: Data missing for no. of containers and lot container," typically arises in the context of quality management and sampling procedures. This error suggests that the system is unable to determine the necessary sampling information due to missing data related to containers or lot containers.
    Causes:
    
    Missing Container Data: The system may not have the required information about the number of containers or the specific lot container associated with the sampling procedure.
    
    Configuration Issues: There may be configuration settings in the quality management module that are not properly set up, leading to missing data. Incomplete Master Data: The material master or batch master data may not have been fully maintained, particularly in relation to sampling procedures. Incorrect Sampling Procedure: The sampling procedure defined may not be applicable to the current lot or container, leading to a mismatch in expected data. Solutions: Check Master Data: Ensure that the material master and

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