How To Fix /LIME/UTIL206 - Incomplete information, inconsistency cannot be removed

SAP Error Message - Details

• Message type: E = Error

• Message class: /LIME/UTIL -

• Message number: 206

• Message text: Incomplete information, inconsistency cannot be removed

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.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message /LIME/UTIL206 - Incomplete information, inconsistency cannot be removed ?

  The SAP error message /LIME/UTIL206 Incomplete information, inconsistency cannot be removed typically indicates that there is an inconsistency in the data that the system is unable to resolve due to missing or incomplete information. This error is often related to the LIME (Logistics Information Management Environment) module, which deals with logistics and supply chain data.
  Causes:
  
  Missing Data: Required fields or data entries may be incomplete or missing in the relevant master data or transactional data.
  Data Inconsistency: There may be inconsistencies between different data sets or records, such as mismatched entries in related tables.
  
  Configuration Issues: Incorrect configuration settings in the system can lead to inconsistencies.
  Custom Developments: If there are custom programs or enhancements, they may not handle certain data scenarios correctly.
  
  Solutions:
  
  Check Data Completeness: Review the relevant master data and transactional data to ensure that all required fields are filled out correctly. This includes checking for any missing entries in related tables.
  Data Consistency