How To Fix MC_LO_VCHCLF036 - An error occured during the inspection of the value of characteristic &1

MC_LO_VCHCLF036 - Overview

• Message type: E = Error

• Message class: MC_LO_VCHCLF - Message Class for Variant Configuration and Classification

• Message number: 036

• Message text: An error occured during the inspection of the value of characteristic &1

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message MC_LO_VCHCLF036 - An error occured during the inspection of the value of characteristic &1 ?

  The SAP error message MC_LO_VCHCLF036 indicates that there was an issue during the inspection of the value of a characteristic in the context of a logistics or quality management process. This error typically arises in scenarios involving characteristics in the context of batch management, quality inspection, or similar processes where specific characteristics are evaluated.
  
  Cause:
  The error can be caused by several factors, including but not limited to:
  
  Incorrect Characteristic Value: The value assigned to the characteristic may not meet the expected format or range defined in the system.
  Missing Master Data: The characteristic may not be properly defined in the master data, or the relevant master data (like material master or inspection plan) may be incomplete.
  
  Configuration Issues: There may be issues with the configuration of the characteristics in the system, such as incorrect settings in the classification system.
  Data Inconsistencies: There may be inconsistencies in the data being processed, such as missing or incorrect