Message type: E = Error
Message class: RMSATLVAL - RMS-ATL: Messages for Process Parameters
Message number: 015
Message text: Class of value assgt type &1 contains at least one invalid characteristic
For process parameters, you use classes with the characteristics that
belong to them. For further developments at a later stage, the
characteristics you use for the value of the process
parameter must contain the following character strings in the key:
Character string,,Meaning of characteristic
<LB>__MINMAX__,,Minimum and maximum value</>
<LB>__TARGET__,,Target value</>
<LB>__UOM__,,Unit</>
To avoid problems when changing releases later on, each of these
character strings may only occur once in the characteristics of a class
for a process parameter, that is, the class may only contain one
characteristic for the minimum and maximum value, only one
characteristic for the target value, and only one characteristic for the
unit. However, the class of value assignment type &V1& contains at least
one of these characteristics more than once.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Notify your system administrator.
Correct the definition of the class for value assignment type &V1&.
Error message extract from SAP system. Copyright SAP SE.
The SAP error message RMSATLVAL015 indicates that there is an issue with the value assignment type in the SAP system, specifically that the class of the value assignment type contains at least one invalid characteristic. This error typically arises in the context of classification and characteristics management in SAP, particularly when dealing with materials, characteristics, and classes in the SAP system.
Cause: Invalid Characteristics: The characteristics assigned to the class of the value assignment type may not be valid. This could be due to: The characteristic not being defined in the system. The characteristic being inactive or deleted. The characteristic not being assigned to the class properly.
Configuration Issues: There may be issues in the configuration of the classification system, such as: Incorrect settings in the class type or value assignment type. Missing dependencies or relationships between characteristics and classes. Data Integrity Issues: There may be inconsistencies in the data, such as: Data corruption or incomplete data entries. Mismatched data types
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