How To Fix CBRC_REGCHECK280 - Quantities not tracked for complete period of regulatory list &1

CBRC_REGCHECK280 - Overview

• Message type: E = Error

• Message class: CBRC_REGCHECK - Messages for Substance-Related Regulation Check

• Message number: 280

• Message text: Quantities not tracked for complete period of regulatory list &1

What causes this issue?

The basis for calculating the average for the year &V2& are the
quantities for previous &v3& years. However, substance volume tracking
was not yet performed for the entire period of time.

System Response

The average calculation for the regulatory list &V1& and the year &V2&
is not performed.

How to fix this error?

Perform substance volume tracking for the necessary period of time
first, before you calculate the average for the year &V2&.

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.

CBRC_REGCHECK280 - Details

• The SAP error message CBRC_REGCHECK280 indicates that there is an issue with the regulatory list in the context of compliance management, particularly related to the tracking of quantities for a specified period. This error typically arises in the context of handling regulatory compliance for materials, especially in industries that are heavily regulated, such as chemicals or pharmaceuticals.
  
  Cause:
  The error message "Quantities not tracked for complete period of regulatory list &1" suggests that the system is unable to find the necessary quantity data for the entire duration specified in the regulatory list. This can occur due to several reasons:
  
  Incomplete Data Entry: The quantities for the materials may not have been entered for the entire period required by the regulatory list.
  Data Gaps: There may be gaps in the data due to missing transactions or incorrect postings.
  Regulatory List Configuration: The regulatory list itself may not be configured correctly, leading to discrepancies in the expected