How To Fix GR192 - Structural changes were detected

GR192 - Overview

• Message type: E = Error

• Message class: GR - Report Writer

• Message number: 192

• Message text: Structural changes were detected

What causes this issue?

The structures to be imported contain differences.

System Response

You are trying to import the structures. The following are accepted:

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

- Field enhancements
- Field reductions

How to fix this error?

Note that, depending on the type of the structure changes mentioned
previously, the fields may appear changed compared to the original
report display (extended fields, shortened fields).
If necessary, delete such old extracts and create new ones. The
selection log of the extract could be helpful for creation.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message GR192 - Structural changes were detected ?

  The SAP error message GR192, which states "Structural changes were detected," typically occurs in the context of inventory management and goods movements. This error indicates that there have been changes in the structure of the material master or related data that affect the processing of the transaction you are trying to execute.
  Causes:
  
  Changes in Material Master: If there have been recent changes to the material master data (e.g., changes in the valuation class, material type, or other key fields), it can lead to inconsistencies.
  Changes in BOM or Routing: If there are changes in the Bill of Materials (BOM) or routing that are not reflected in the current transaction, it can trigger this error.
  Data Inconsistencies: If there are inconsistencies in the data due to updates or modifications in the system, it can lead to structural changes being detected.
  Versioning Issues: If the system is trying to access an outdated version of the data